AI For Medical Treatment
DeepLearning.AI · View on Coursera ↗
Taught by Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
Data ScienceComputer Science
About the course
AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine. Medical treatment may impact patients differently based on their existing health conditions. In this third course, you’ll recommend treatments more suited to individual patients using data from rando
The dissent
The most-upvoted critical review (5 votes, 1.0★).
“This is the worst course in all my experience on Coursera. The material has been prepared with evident hurry and superficiality but the more disgusting thing is the total absence of assistance and support. There are evident problems with the grader, reported by several users, and no one has been giving an answer since the course startup. If this is the quality of service provided by Coursera, there is non hope that I'll engage a new course in the future.”
Coursera's 4.7 comes from 548 ratings. Of those, 2.9% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗