Special Topics: Frontier AI Models for Medicine

12 units · Graduate

Spring: 12 units Medical artificial intelligence (AI) is rapidly transforming the quality and delivery of patient care, from note summarization to clinical decision-making. This course will provide hands-on experience with frontier AI models for medicine. We will survey frontier AI models’ architectures and objective functions, their applications to real-world medical problems, and the algorithmic gaps that limit their adaptation to new populations, specialties, or care settings. Students will identify an unmet need in medicine, propose and implement an algorithmic solution, and rigorously evaluate the approach. The semester-long project will culminate in an oral presentation, poster session, and manuscript. The course will also discuss the ethical issues specific to the development and implementation of medical AI. Students should be proficient in Python and comfortable with machine learning concepts and implementation.