Artificial Intelligence and Academic Medicine
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 ethical use.
Medical schools and academic health systems across the country are making concerted efforts to integrate AI into education, clinical delivery and practice, and biomedical research. The AAMC is supporting its member institutions as they determine their individual approaches to this new technology, in navigating the initiation, planning, and implementation of any AI tools, and in monitoring the policy and regulatory environment.
Below is an overview of the AAMC’s work as well as opportunities for you to connect with your peers, share your experiences, and learn from experts.
On this page:
AI Principles
Principles for the Responsible Use of Artificial Intelligence in and for Medical Education
The AAMC developed seven key principles to support integrating AI into medical education with a focus on equity and ethics. These principles address AI’s transformative potential through two essential pillars: (1) AI in medical education, that is supporting learners along their developmental continuum to responsibly integrate AI into their practice, and (2) AI for medical education, that is building and incorporating AI into medical education tasks, processes, and systems.
Medical Education
AI in Academic Medicine Webinar Series
Explore critical concepts, the current landscape, and practical strategies drawn from various perspectives and institutions from the evolving world of AI. Interspersed with these webinars are community conversations calls, which offer an opportunity for extended discussion about the implications of AI implementation.
International Advisory Committee for AI
To provide guidance and best practices for the health professions education community, the AAMC is collaborating with AMEE, IAMSE, NUS, and AAHCI to convene this committee.
Call for Submissions: Advancing AI Across Academic Medicine Resource Collection
This call for submissions of early educational materials, promising practices, policies, and pilot projects is now open. Selected submissions will be included in a collection launching spring 2025. The goal is to advance collaboration and knowledge sharing and spark innovative thinking.
AI in Health Professions Education Virtual Community
The global spotlight is on AI as the HPE community seeks a unified, consensus-driven strategy for upcoming opportunities and challenges. Register now to join this virtual forum to share ideas and insights, ask questions, and develop professionally.
AI and Medical Education Resource Collection
These scholarly resources, opportunities to engage with colleagues and experts in AI, and other information will help you stay up to date on the latest work happening across medical education.
Call for Submissions: MedEdPORTAL AI Education Collection
This call for submissions of fully developed innovations that have been implemented and evaluated is now open. Selected submissions will be published in MedEdPORTAL and included in the journal’s AI education collection. The goal is to highlight the work of all those who are driving AI education towards improved patient care.
Admissions & Selection
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.
Learner Opportunities
Call for Submissions: 2024-2025 AAHCI Student Leadership Initiative
This call for submissions is now open. Health professions students from AAHCI and AAMC member institutions are invited to submit proposals on AI in health professions education, showcasing innovative ideas or new programs, models, or studies
Clinical Care
Digital Health and AI Learning Collaborative
In 2024, the AAMC launched the third year of this collaborative with Manatt Health. The collaborative convenes 24 academic health systems across the country to share strategies, challenges, and lessons learned regarding opportunities and methodologies for integrating digital health and AI into everyday clinical care and operations.
Health Equity
Polling Snapshot: Artificial Intelligence
In August 2023, the AAMC Center for Health Justice conducted a national poll of U.S. adults to learn about their attitudes towards the growing use of AI in their daily lives. The data collected address Americans' familiarity with AI, their views on AI and racial inequality, and their hopes for AI's future.
Foundations of Responsible NLP Use for Maternal Health Equity
These foundations are meant to guide those who use natural language processing (NLP) as a research tool and/or as part of clinical decision support. They were distilled from input received during the May 2023 Maternal Health Equity Workshop and a complementary survey of women and birthing people.
