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Foundations of AI in Medicine
BMI 702

Course Information

Description

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.

School Harvard Medical School
Credits 4
Cross Reg

Not Available for Cross Registration

Course Component Lecture
Instruction Mode In Person
Grading Basis HMS Ordinal
Course Requirements BMI students
Curriculum Phase N/A
Visiting Clerks N/A
Course Type N/A