Artificial Intelligence in Medicine I
4 credits, Fall Semester
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. Enrollment is limited.
Assistant Professor of Biomedical Informatics, Harvard Medical School
Deputy Editor, NEJM AI
Chair of the Department of Biomedical Informatics, Harvard Medical School
Marion V. Nelson Professor of Biomedical Informatics, Harvard Medical School
Professor of Pediatrics, Boston Children's Hospital