A Training Needs Analysis for AI and Generative AI in Medical Education: Perspectives of Faculty and Students
Our findings will inform the design of two parallel structured AI training programs, focusing on faculty and student priorities, including hands-on skills practice, and emphasizing AI's ethical use, reliability, and limitations.
Authors
- Lise McCoy (ORCID: https://orcid.org/0000-0003-4788-861X)
- Natarajan Ganesan (ORCID: https://orcid.org/0000-0002-4445-1431)
- Viswanathan Rajagopalan (ORCID: https://orcid.org/0000-0002-1334-502X)
- Douglas McKell (ORCID: https://orcid.org/0000-0001-9147-4989)
- Diego F. Niño (ORCID: https://orcid.org/0000-0001-7687-6920)
- Mary Claire Swaim
Institutions
- Philadelphia College of Osteopathic Medicine (US)
- Thomas Jefferson University (US)
- The University of Texas at Tyler (US)
- New York Institute of Technology (US)
Publication Details
- Journal
- Journal of Medical Education and Curricular Development
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1177/23821205251339226
- Citations
- 19
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 12.43