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Macy Conferences / 2024 Conference
2024 Conference
Artificial Intelligence (AI) in Medical Education
Overview
The 2024 Macy conference, focused on Artificial Intelligence in Medical Education, brought together 50+ invited participants—including AI industry experts; AI in medical education innovators; leaders of academic medical centers, health systems, and relevant associations; health professions faculty and learners; and others—for intensive discussions designed to produce consensus recommendations for the field. The conference yielded multiple products and spurred ongoing conversation and investigation.
Conference Committee
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Eva Aagaard
MD
Carol B. and Jerome T. Loeb Professor of Medical Education; Senior Associate Dean for Education; Vice Chancellor for Medical Education, Washington University School of Medicine
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Jesse Burk Rafel
MD
Associate Professor, Division of Hospital Medicine; Assistant Director & Vice Chair for Research, Institute for Innovations in Medical Education, NYU Grossman School of Medicine
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Adam Rodman
MD, MPH
Hospitalist at Beth Israel Deaconess Medical Center Assistant Professor, Harvard Medical School; Director of AI Programs, Shapiro Center for Research and Education, BIDMC Co-director, iMED Initiative at BIDMC, Beth Israel Deaconess
Conference Materials
Recommendations
Academic Medicine special supplement – published in print September 2025 (available online ahead of print):
- Conference Proceedings and Consensus Recommendations
- Full Supplement
- Innovations Report on Artificial Intelligence in Medical Education Part I
- Innovations Report on Artificial Intelligence in Medical Education Part II
AAMC AI in Medical Education Webinar Series (Macy as a co-sponsor for select webinars in the series)
- AI and the Future of Med Ed: Recommendations from the Macy Foundation Conference – webinar (held on June 12, 2025)
- Innovating Med Ed with AI: Insights from the Macy Report – webinar (held on September 16, 2025)
- After issuing a 2025 RFA on AI in Medical Education, the Macy Foundation funded three demonstration projects, each for up to $200K over two years. The funded projects describe, implement, and evaluate innovative strategies to integrate AI into medical education and prepare current and future physicians on the ethical use of AI to improve patient care.
