Artificial Intelligence and Medical Education

digital human brain covered in networks

The landscape of artificial intelligence (AI) is quickly evolving.

In medical education, advances in this technology have led to new opportunities for educators, learners, and staff as well as questions and challenges around best practices and ethical use. This collection includes scholarly resources, in-person and virtual events, and other information to help you stay up to date on the latest work happening across medical education. Also included are opportunities for you to engage with colleagues and experts in AI, large language models, machine learning, and more.

Want to get more involved? Join the Artificial Intelligence in Health Professions Education community to share ideas and insights, ask questions, and develop professionally. 

Resources from the AAMC 

The AAMC is committed to supporting and leading the advancement of AI in academic medicine with a focus on fair access and ethical use. Learn more about opportunities 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. 

Advancing AI Across Academic Medicine Resource Collection 

This collection from the AAMC includes timely, freely accessible resources designed to help medical schools, academic health systems, and teaching hospitals effectively integrate AI into their educational environments. 

Principles for the Responsible Use of AI 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.

Principles for Responsible AI in Medical School 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.

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.

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. 

Additional resources from the AAMC are available at aamc.org/AI.

Learn More from Experts  

Generative AI Resources and Links from The NYU Grossman School of Medicine Institute for Innovations in Medical Education 

This collection includes tools, tutorials, newsletters, social media, and other resources that address the successful use of generative AI in medicine and medical education. 

Resources from the AMA 

U.S. Department of Education Office of Educational Technology: AI and the Future of Teaching and Learning 

This handout summarizes the core messages in the recently released “AI and the Future of Teaching and Learning: Insights and Recommendations” report, which addresses the clear need for sharing knowledge, providing supports, and developing policies for AI, as these tools are being increasingly embedded in all types of educational technology systems. 

Artificial Intelligence (AI) and Digital Healthcare Technologies Capability Framework

This framework from the National Health Service in England outlines the skills and capabilities health care professionals need to work in a digitally enhanced environment. 

National Institute for Health Care Management Foundation: Artificial Intelligence and Health Series

This webinar series explores the evolving landscape of AI in health care, including strategies for its responsible adoption and promoting equity. 

National Academy of Medicine: Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril

This special publication outlines current and near-term AI solutions; highlights the challenges, limitations, and best practices for AI development, adoption, and maintenance; offers an overview of the legal and regulatory landscape for AI tools designed for health care application; prioritizes the need for equity, inclusion, and a human rights lens for this work; and outlines key considerations for moving forward. 

UNESCO: Guidance for Generative AI in Education and Research 

This guidance proposes key steps for governmental agencies to regulate the use of GenAI tools, outlines requirements for GenAI tools to enable their ethical and effective use in education, and offers concrete recommendations for policymakers and educational institutions on how the uses of GenAI tools can be designed to protect human agency and genuinely benefit learners, teachers, and researchers. 

Johns Hopkins University: Generative AI Tool Guidance   

This resource includes guidelines and best practices concerning generative AI tools and teaching, including teaching and assessment strategies, ethical considerations, case studies, and more.

Medical Science Educator Call for Papers for Special Section: Implementation of AI in Health Sciences Education 

This year Medical Science Educator is publishing a special journal section dedicated to the topic of "Implementation of Artificial Intelligence (AI) in Health Sciences Education." The journal has numerous article types and is particularly interested in Innovations, Short Communications, Monographs, and Original Research on this topic. The deadline for submissions for the special section is September 1, 2025. 

Learn more

Stay Up to Date on the Latest Scholarship 

Academic Medicine Article Collection: Artificial Intelligence and Academic Medicine 

This collection features articles on this evolving topic published in the journal Academic Medicine

MedEdPORTAL Call for Submissions: Artificial Intelligence (AI) Education 

MedEdPORTAL invites potential authors to submit educational innovations that support the integration of AI into medical education. This call is designed to highlight the work of educators, learners, and professional staff who are driving AI education towards the aim of improved patient care.

NEJM AI

This monthly journal explores the cutting-edge applications of artificial intelligence and machine learning in medicine. 

JAMA+ AI 

This collection includes the scholarship on AI and medicine and related multimedia materials published across JAMA, JAMA Network Open, and the JAMA specialty journals.

JMIR Medical Education 

This open-access journal explores the intersection of technology, innovation, and openness in medical education, including e-learning and virtual training and how to train health professionals to use digital tools. 

Additional scholarly articles

Related Discussions  

Community members are already discussing AI and how it’s affecting their work. Catch up on these conversations and add your thoughts. 

Call for Submissions: Advancing AI Across Academic Medicine Resource Collection 

To enhance and expand this collection, the AAMC invites submissions of practical resources to advance the responsible use of AI across academic medicine. All submissions are due by August 15 at 11:59 pm PT.

Learn more

AI in Academic Medicine Webinar Series

This webinar series from the AAMC explores critical concepts, the current landscape, and practical strategies drawn from various perspectives and institutions to support you in navigating this evolving world. 

Register for upcoming webinars and access past session recordings and slides. 

AI Skill Building for Medical Educators Webinar Series 

This related webinar series hosted by the AAMC Group on Educational Affairs will deepen your understanding of AI tools, applications, and ethics in academic medicine. Speakers offer actionable insights and tools to help you integrate AI into your teaching, assessment, and professional development. 

Register for upcoming webinars and access past session recordings and slides.

Related Podcast Episodes

Do What You Do Better: Using AI Tools to Ease the Workload Burden on Faculty 

Christy Boscardin, PhD, Brian Gin, MD, PhD, Marc Triola, MD, and Gustavo Patino, MD, PhD, discuss the ways that artificial intelligence (AI) tools can help ease the workload burden on faculty and staff, with a focus on assessment and admissions.   

Using Machine Learning in Residency Applicant Screening 

Jesse Burk-Rafel, MD, MRes, and Mahan Kulasegaram, PhD, discuss the development of a decision support tool that incorporates machine learning and the use of that tool in residency applicant screening

#25 ChatGPT4 Unplugged: The Academic Writer’s Secret Weapon  

The hosts discuss an article on the utility of using ChatGPT for academic writing. They explore the author's recommendations to use ChatGPT to support laborious writing tasks and to refine its output to fit one's unique voice and style for creative writing. 

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