BIODS220 (CS271, BIOMEDIN220)
Artificial Intelligence in Healthcare
Course DescriptionHealthcare is one of the most exciting application domains of artificial intelligence, with transformative potential in areas ranging from medical image analysis to electronic health records-based prediction and precision medicine. This course will involve a deep dive into recent advances in AI in healthcare, focusing in particular on deep learning approaches for healthcare problems. We will start from foundations of neural networks, and then study cutting-edge deep learning models in the context of a variety of healthcare data including image, text, multimodal and time-series data. In the latter part of the course, we will cover advanced topics on open challenges of integrating AI in a societal application such as healthcare, including interpretability, robustness, privacy and fairness. The course aims to provide students from diverse backgrounds with both conceptual understanding and practical grounding of cutting-edge research on AI in healthcare.
Course Time and LocationMondays and Wednesdays, 1:00-2:20pm
Section Time and LocationFridays, 1:00-2:20pm
Sections will be used for various review sessions throughout the quarter. They will happen on a few Fridays, not weekly. Check the calendar under syllabus to stay up to date as to when review sessions will be held.