A Training Needs Analysis for AI and Generative AI in Medical Education: Perspectives of Faculty and Students.

Journal: Journal of medical education and curricular development
Published Date: Jan 1, 2025

Abstract

INTRODUCTION: The growing presence of artificial intelligence (AI) in health professions has created a need to investigate its potential benefits and challenges in medical education. This article presents findings from an AI learner training needs analysis survey at a U.S. medical school. It compares faculty and student experiences and perspectives on using generative AI (GAI) and other AI tools for undergraduate medical education, focusing on their respective knowledge and learning preferences.

Authors

  • Lise McCoy
    Department of Academic Affairs, New York Institute of Technology College of Osteopathic Medicine (NYITCOM), Jonesboro, USA.
  • Natarajan Ganesan
    Department of Biomedical and Anatomical Sciences, NYITCOM, Jonesboro, USA.
  • Viswanathan Rajagopalan
    Department of Biomedical and Anatomical Sciences, NYITCOM, Jonesboro, USA.
  • Douglas McKell
    College of Population Health, Thomas Jefferson University, Philadelphia, USA.
  • Diego F Niño
    Department of Medical Education, School of Medicine, The University of Texas, Tyler, USA.
  • Mary Claire Swaim
    College of Osteopathic Medicine, NYIT, Jonesboro, USA.

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