Learn More from Experts
This collection includes tools, tutorials, newsletters, social media, and other resources that address the successful use of generative AI in medicine and medical education.
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.
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
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.
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.
This webinar series explores the evolving landscape of AI in health care, including strategies for its responsible adoption and promoting equity.
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.
This resource includes guidelines and best practices concerning generative AI tools and teaching, including teaching and assessment strategies, ethical considerations, case studies, and more.