IAMSE Artificial Intelligence Meeting Survey: AI's Impact on Medical Education Faculty

Douglas McKell; Lise McCoy; Diego F Niño

doi:10.1007/s40670-024-02163-0

IAMSE Artificial Intelligence Meeting Survey: AI's Impact on Medical Education Faculty

Med Sci Educ. 2024 Nov 14;34(6):1641-1646. doi: 10.1007/s40670-024-02163-0. eCollection 2024 Dec.

Authors

Douglas McKell¹, Lise McCoy², Diego F Niño³

Affiliations

¹ The College of Population Health, Thomas Jefferson University, Philadelphia, PA USA.
² New York Institute of Technology, College of Osteopathic Medicine, Jonesboro, AR USA.
³ School of Medicine, The University of Texas at Tyler, Tyler, TX USA.

PMID: 39758482
PMCID: PMC11699010 (available on 2025-12-01)
DOI: 10.1007/s40670-024-02163-0

Abstract

This report describes the results of an AI Needs Assessment survey conducted during the IAMSE Annual Meeting in June 2024. It assessed IAMSE members' use of AI, implementation challenges, their organization's AI initiatives, and internal and external resources needed for effective AI adoption. Although many respondents were comfortable with AI (53%), they reported substantial challenges in adopting AI at the personal and organizational levels. A high percentage of institutions were at the initial stages of integrating AI (86%). Most respondents requested online training and a certificate course (53%).