Foundations of AI in Medicine
4 credits, Spring Semester
Advances in AI are reshaping science and medicine, creating new ways to support clinical decision-making, study biology, and generate hypotheses. This course focuses on contemporary AI models, including multimodal, generative, and agentic AI.
We will look at the models and architectures behind these systems and how their design choices shape 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, interpret levels of evidence, and incorporate human feedback. 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.