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Artificial Intelligence in Medicine I
BMIF 202

Course Information

Description

AI in Medicine I is a graduate-level seminar course at Harvard Medical School that explores the rapidly-growing applications of artificial intelligence in medicine. The goal of this course is to equip students with the skills to appraise both the clinical relevance and methodological novelty of scholarship at the intersection of artificial intelligence and medicine. This discussion-oriented course promotes active engagement through student-led presentations of seminal papers spanning multiple decades, from early efforts to apply decision analysis and rule-based systems to the powerful deep learning and generative AI models being deployed in medicine today. Students will engage with faculty at HMS and the HMS-affiliated hospitals, editors at leading general medical and medical AI journals, and clinicians driving change at the point of care. Our aim is to bridge the gap between the technical aspects of artificial intelligence and its impact on medicine.

Course Notes

Course enrollment is capped at 12 students and requires instructor permission.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Course Component Seminar
Grading Basis FAS Letter Graded
Exam/Final Deadline Dec. 16, 2026
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution Science & Engineering & Applied Science
Course Level Primarily for Graduate Students