Users Online

· Guests Online: 9

· Members Online: 0

· Total Members: 188
· Newest Member: meenachowdary055

Forum Threads

Newest Threads
No Threads created
Hottest Threads
No Threads created

Latest Articles

Coursera ? AI for Medicine Specialization 2024-1(Coursera - AI for Medical Diagnosis 2024-1)

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

Comments

No Comments have been Posted.

Post Comment

Please Login to Post a Comment.

Ratings

Rating is available to Members only.

Please login or register to vote.

No Ratings have been Posted.
Render time: 0.74 seconds
10,924,813 unique visits