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. As an AI practitioner, you have the opportunity to join in this transformation of modern medicine. If you're already familiar with some of the math and coding behind AI algorithms, and are eager to develop your skills further to tackle challenges in the healthcare industry, then this specialization is for you. No prior medical expertise is required!
This course is part of the AI for Medicine Specialization
Offered By


About this Course
Skills you will gain
- Deep Learning
- Image Segmentation
- Machine Learning
- model evaluation
- Multi-class classification
Offered by
Syllabus - What you will learn from this course
Disease Detection with Computer Vision
Evaluating Models
Image Segmentation on MRI Images
Reviews
- 5 stars76.09%
- 4 stars18.23%
- 3 stars3.72%
- 2 stars1.27%
- 1 star0.66%
TOP REVIEWS FROM AI FOR MEDICAL DIAGNOSIS
The assignments are extremely simple; mostly just implementing an equation in Python. The rest of the notebooks are basically readings. Maybe give a little more coding practice.
I thought the course was really great. The videos are nice and straight to the point. It would be nice to see a course using advance features. As well as seeing techniques such as NLP.
Pleasant pacing, very clear and concise lecture material. I was really frustrated with the final assignment though. Would be nice if the grader gives something more instructive than correct/incorrect.
Amazing course with lot of insights in how AI can be useful in medical field. Kudos to Andrew Ng, Pranav Rajpurkar and the whole deeplearning.ai team for creating this course.
About the AI for Medicine Specialization

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