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. 



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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. 

International Advisory Committee for Artificial Intelligence 

The AAMC has convened this committee in collaboration with AMEE: The International Association for Health Professions Education, the International Association of Medical Science Educators (IAMSE), the National University of Singapore, and the Alliance of Academic Health Centers International (AAHCI) with the goal of providing guidance and best practices for the international health professions education community. 

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 schools and programs leverage AI tools to streamline their operations and promote equity, the AAMC – in collaboration with a multidisciplinary technical advisory committee – developed six key principles to guide the design and use of AI-based selection systems. 

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. 

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.

Advancing AI Across Academic Medicine Resource Collection 

The AAMC recognizes the growing importance of AI across academic medicine and is committed to fostering innovation within the community. Help move the field forward by submitting your work to this collection. It will launch next year and house early educational materials, promising practices, policies, pilot projects, and more. The goal is to advance collaboration and knowledge sharing and spark innovative thinking. 

Read the call      Submit your resources 

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. 

Learn More About All the AAMC's AI Activities

The AAMC is supporting the academic medicine community as institutions determine their individual approaches to leveraging AI technology, in navigating the initiation, planning, and implementation of any AI tools, and in monitoring the policy and regulatory environment.

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

AI in Academic Medicine Webinar Series

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

Register for an upcoming session 

Access past session recordings, slides, and Q&A summaries. 

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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