AI-Enabled Medical Education: Threads of Change, Promising Futures, and Risky Realities Across Four Potential Future Worlds.

Journal: JMIR medical education
Published Date:

Abstract

BACKGROUND: The rapid trajectory of artificial intelligence (AI) development and advancement is quickly outpacing society's ability to determine its future role. As AI continues to transform various aspects of our lives, one critical question arises for medical education: what will be the nature of education, teaching, and learning in a future world where the acquisition, retention, and application of knowledge in the traditional sense are fundamentally altered by AI?

Authors

  • Michelle I Knopp
    Department of Internal Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.
  • Eric J Warm
    Department of Internal Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.
  • Danielle Weber
    Departments of Internal Medicine and Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.
  • Matthew Kelleher
    Departments of Internal Medicine and Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.
  • Benjamin Kinnear
    Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.
  • Daniel J Schumacher
    Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.
  • Sally A Santen
    Department of Medical Education, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.
  • Eneida Mendonça
    Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.
  • Laurah Turner
    Department of Medical Education, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.