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!
AI for Medical Diagnosis
This course is part of AI for Medicine Specialization
Instructors: Pranav Rajpurkar
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There are 3 modules in this course
By the end of this week, you will practice classifying diseases on chest x-rays using a neural network.
What's included
20 videos3 readings1 assignment1 programming assignment1 app item4 ungraded labs
By the end of this week, you will practice implementing standard evaluation metrics to see how well a model performs in diagnosing diseases.
What's included
10 videos1 reading1 assignment1 programming assignment1 ungraded lab
By the end of this week, you will prepare 3D MRI data, implement an appropriate loss function for image segmentation, and apply a pre-trained U-net model to segment tumor regions in 3D brain MRI images.
What's included
10 videos5 readings1 assignment1 programming assignment3 ungraded labs
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Recommended if you're interested in Machine Learning
DeepLearning.AI
DeepLearning.AI
DeepLearning.AI
Stanford University
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Frequently asked questions
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