Foundations of AI in Medicine
4 credits, Spring Semester
Note: Spring 2026 description below. Spring 2027 iteration is being revamped.
Advances in AI are reshaping science and medicine, creating new ways to study biology, generate hypotheses, and support clinical decision-making. This course focuses on multimodal, generative, and agentic AI models.
We will look at the models and architectures behind these systems and how training choices shape their performance. Students will work with real medical and biological data, including clinical language, medical images, longitudinal measurements, and molecular readouts, and will learn how to leverage multimodal datasets.
A core part of the course is evaluation, including how to benchmark models and develop human-AI evaluation loops. We also discuss responsible implementation and what it takes to use these systems in research and clinics.
Prerequisites: BMI 701 and BMI 714
BMI 702 is only open to students in the MMSc in Biomedical Informatics program.