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Artificial Intelligence and Academic Medicine

A graphic with a technology-themed background featuring circuit-like lines and nodes. At the top, a large blue and white banner reads, “AI for Medical Education,” with "AI" in dark blue, "FOR" in gold, and “MEDICAL EDUCATION” in dark blue. To the right, smaller blue text reads, “Incorporating AI into the work you do.”  Below this banner are three dark blue rounded rectangles with bold white text: "LEARNING & NETWORKING” and “CRITICAL RESOURCES” and “COMMUNITY COLLABORATIONS”  These boxes represent focus areas of the AI in Medical Education initiative.  At the bottom of the graphic, a yellow ribbon banner contains blue text: “Teaching AI best practices to learners, faculty, and staff.” To the right of the banner, large bold text reads, “AI IN MEDICAL EDUCATION,” with “AI” and “EDUCATION” in dark blue and “IN” in gold.

The landscape of artificial intelligence (AI) is quickly evolving. Advances in this technology have led to new opportunities as well as questions and challenges around best practices and responsible use. 

During this time of transition, the AAMC is committed to supporting and leading the advancement of AI in academic medicine with a focus on fair access and ethical use. Below is an overview of the AAMC’s work in this area, including opportunities for you to learn and network with colleagues and experts, access critical resources to guide your use of AI tools, and explore key collaborations happening across the global health professions education community.

Learning and Networking

Explore opportunities to learn from experts, share your experiences, and connect with peers. Come together with the academic medicine community to innovate and advance thinking and practice.

AI in Academic Medicine Webinar Series

Explore critical concepts, the current landscape, and practical strategies drawn from various perspectives and institutions. Interspersed with these webinars are community conversations calls, which offer an opportunity for extended discussion about the implications of AI implementation. 

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AI in Health Professions Education Virtual Community

Join this virtual forum to share ideas and insights, ask questions, and develop professionally with colleagues across the global health professions education community.

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Critical Resources

Explore timely, high-quality resources to guide your thinking and practice around integrating AI across medical education.

Principles for the Responsible Use of Artificial Intelligence in and for Medical Education

These seven principles provide foundational guidance and key issues to consider as institutions look to integrate AI into medical education by (1) supporting learners along their developmental continuum to responsibly integrate AI into their practice and (2) building and incorporating AI into medical education tasks, processes, and systems.

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Artificial Intelligence Resources for Admission and Selection Processes

These AI resources support medical schools and residency and fellowship programs in their admission and selection processes by recommending when institutions should implement AI, how to evaluate possible vendors, and defining key AI terminology.

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International Advisory Committee for Artificial Intelligence Vision and Integration Frameworks 

This resource supports learners, educators, and institutions across the global medical education continuum by offering concrete recommendations for AI integration at the intrapersonal, individual, institution, national, and international levels across a series of key domains. 

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Key Scholarship from the AAMC’s Journals 

The Artificial Intelligence and Academic Medicine collection features articles on this evolving topic published in the journal Academic Medicine.

The MedEdPORTAL AI Education call for submissions seeks fully developed innovations that have been implemented and evaluated. Selected submissions will be included in the journal’s upcoming AI education collection. 

Principles to Guide the Use of AI in Medical School Admissions and Residency Selection 

Medical schools and residency programs can advance toward more efficient, effective, fair, and informed admissions and selection processes by thoughtfully applying AI. To help institutions leverage AI tools to streamline their operations and promote equal opportunities for all, the AAMC – with a multidisciplinary technical advisory committee – developed six key principles to guide the design and use of AI-based selection systems.

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Advancing AI Across Academic Medicine Resource Collection

This collection includes timely, freely accessible resources designed to help all medical schools, academic health systems, and teaching hospitals effectively integrate AI into their educational environments. It is intended to address the immediate need to share practical resources and will be updated periodically through future calls for submissions.

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AI and Medical Education Resource Collection

This curated collection includes key reports, guidelines, events, podcast episodes, and more from across academic medicine and beyond to highlight the latest work happening across medical education. 

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Community Collaborations

Learn more about how the academic medicine community is working together around the globe to support each other and develop best practices.

International Advisory Committee for Artificial Intelligence 

To provide guidance and best practices for the health professions education community, the AAMC is collaborating with AMEE, IAMSE, APMEN, and AAHCI to convene this committee with the goal of providing guidance and best practices for the global community. 

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