AI for Health Applications

3 Credits · Level: Graduate

This course will provide a hands-on opportunity to explore the current applications of artificial intelligence and machine learning in biomedicine and healthcare. Focused around case studies representing the successful examples of these algorithms, students will learn the mathematical formulations underlying the methods, understand the computational requirements and limitations of their application, and explore their use in healthcare research applications. In general, a single ML/AI method will be addressed each week, and consist of lecture on the underlying algorithm, discussion of applications from the literature, and an interactive workshop illustrating its application to a test example dataset. Homework will test the implementation of the given algorithms on a curated dataset and explore the unique attributes.