Coursera ? AI for Medicine Specialization 2024-1(Coursera - AI for Medical Diagnosis 2024-1)
Posted by Superadmin on February 07 2024 11:21:45

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


01_01_welcome-to-the-specialization-with-andrew-and-pranav


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


01_02_demo


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


01_03_recommended-pre-requisites


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


02_01_medical-image-diagnosis


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


02_02_eye-disease-and-cancer-diagnosis


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


03_01_building-and-training-a-model-for-medical-diagnosis


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


03_02_training-prediction-and-loss


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


03_03_image-classification-and-class-imbalance


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


03_04_binary-cross-entropy-loss-function


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


03_05_impact-of-class-imbalance-on-loss-calculation


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


03_06_resampling-to-achieve-balanced-classes


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


03_07_multi-task


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


03_08_multi-task-loss-dataset-size-and-cnn-architectures


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


03_09_working-with-a-small-training-set


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


03_10_generating-more-samples


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


04_01_model-testing


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


04_02_splitting-data-by-patient


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


04_03_sampling


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


04_04_ground-truth-and-consensus-voting


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


04_05_additional-medical-testing


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


05_01_disease-detection-with-computer-vision_quiz.html


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


06_01_optional-downloading-your-notebook-downloading-your-workspace-and-refreshing_instructions.html


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


06_02_about-the-autograder_instructions.html


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


07_01_sensitivity-specificity-and-evaluation-metrics


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


07_02_accuracy-in-terms-of-conditional-probability


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


07_03_sensitivity-specificity-and-prevalence


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


07_04_ppv-npv


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


07_05_confusion-matrix


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


07_06_calculating-ppv-in-terms-of-sensitivity-specificity-and-prevalence_instructions.html


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


08_01_roc-curve-and-threshold


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


08_02_varying-the-threshold


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


09_01_sampling-from-the-total-population


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


09_02_confidence-intervals


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


09_03_95-confidence-interval


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


10_01_evaluating-machine-learning-models_quiz.html


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


11_01_medical-image-segmentation


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


12_01_medical-image-segmentation


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


12_02_segmentation


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


12_03_convolutional-neural-networks_instructions.html


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


12_04_2d-u-net-and-3d-u-net


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


12_05_more-about-u-net-optional_1505.04597.pdf


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


12_05_more-about-u-net-optional_instructions.html


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


12_06_data-augmentation-for-segmentation


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


12_07_loss-function-for-image-segmentation


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


13_01_different-populations-and-diagnostic-technology


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


13_02_external-validation


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


13_03_measuring-patient-outcomes


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


14_01_segmentation-on-medical-mages_quiz.html


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


15_01_important-reminder-about-end-of-access-to-lab-notebooks_instructions.html


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


16_01_congratulations


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


16_02_acknowledgements_instructions.html


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


16_03_citations_1902.09063.pdf


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents

Coursera - AI for Medical Diagnosis 2024-1

with Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu


16_03_citations_instructions.html


 

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

  • Diagnosis of diseases using X-rays and 3D MRI images of the brain
  • Predict patient survival more accurately using tree-based models
  • Estimating treatment effects on patients using data from randomized trials
  • Automating the task of labeling medical datasets using natural language processing

Course details

  • Publisher: Coursera
  • University: deeplearning.ai
  • Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
  • average level
  • Number of courses: 3 courses
  • English language
  • Duration of training: 2 months including 10 hours of work per week
  

Course Contents