Explore timely, high-quality resources to guide your thinking and practice around integrating AI across medical education.
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 supporting learners along their developmental continuum to responsibly integrate AI into their practice and by building and incorporating AI into medical education tasks, processes, and systems.
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Advancing AI Across Academic Medicine Resource Collection
This collection includes timely, free resources designed to help medical schools and academic health systems and teaching hospitals effectively integrate AI into their educational environments.
Explore the Advancing AI Resource Collection
IACAI 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.
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Key Scholarship and Data
The MedEdPORTAL AI education collection and call for submissions seeks fully developed innovations that have been implemented and evaluated.
AI is rapidly entering medical school curricula, with a drastic increase from 2023 to 2024, according to a Data Snapshot of Curriculum SCOPE Survey data (PDF). These data also identify that tools and policies are still needed to support AI integration.
AI Policy Development Checklist for Medical Education
This checklist serves to help institutions develop or update institutional policies to address the use of AI by learners, faculty, and staff.