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 stars76.08%
- 4 stars18.15%
- 3 stars3.78%
- 2 stars1.31%
- 1 star0.65%
TOP REVIEWS FROM AI FOR MEDICAL DIAGNOSIS
I'm so glad that I've started this course. It was a useful course that I needed to learn about AI, ML, and deep learning in Medical sciences. thank you Coursera to help me through this.
It's a wonderful intro to the medical diagnosis using DL technologies and this course provides the detailed application in the lab session, which helps a lot to the understanding of the theory.
Throughout this course, I was able to understand the different medical and deep learning terminology used. Definitely a good course to understand the basic of image classification and segmentation!
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.
About the AI for Medicine Specialization

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