Artificial Intelligence in Medicine
SHBT 261
Subject & Catalog Number
Course Information
Description
This course will serve as an introduction to artificial intelligence (AI), with an emphasis on its applications in medicine. It will begin with classical machine learning and then progress to convolutional neural networks. Next, the course will cover key AI topics, including self-supervised foundation models, generative AI for computer vision, recurrent neural networks and transformers, multimodal large language models, visual segmentation, understanding, and grounding, reinforcement learning and multi-agent systems, interpretable and trustworthy AI, and efficient AI. Finally, there will be three special sessions covering: (1) world models and spatial reasoning; (2) AI for science, genomics, and proteomics; and (3) AI for robotics and self-driving. Course assignments will include two coding mini-projects and one final coding project.
Course Notes
Students should be familiar with Python. The course will include a discussion component, with additional details to be provided by the course faculty.
Available for Harvard Cross Registration
