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. 

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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. 

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Resources from the AMA 

Brains, Bots, and Beyond: Exploring AI’s Impact on Medical Education 

As part of the IAMSE Fall 2023 Webcast Audio Seminar Series, experts discuss how AI is transforming medical education, especially its impact on faculty teaching and student learning. Session topics include the basics of AI, its use in medical education teaching and learning, addressing bias in AI, and AI tools for medical education. Session recordings are now available.

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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. 

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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. 

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WGEA Webinar Series on Artificial Intelligence 

The Western Group on Educational Affairs (WGEA) is hosting the following free webinars on artificial intelligence for medical schools. All are invited to attend.  

Stay Up to Date on the Latest Scholarship 

Academic Medicine Article Collection: Artificial Intelligence and Academic Medicine 

Recent advances in artificial intelligence tools have been making headlines as these tools become more accessible. Academic medicine is grappling with how to handle the use of these tools, including natural language processing and machine learning models, in everything from the admissions process to conducting and publishing research. This collection features articles on this evolving topic published in the journal Academic Medicine.

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

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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. 

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 on

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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