The Data-Augmented, Technology-Assisted Medical Decision Making (DATA-MD) Curriculum: A Machine Learning and Artificial Intelligence Curriculum for Clinical Trainees.

Journal: Academic medicine : journal of the Association of American Medical Colleges
Published Date: May 19, 2025

Abstract

PROBLEM: Despite the rapidly expanding role of artificial intelligence (AI) and machine learning (ML) in health care, a significant knowledge gap remains among clinicians in their ability to evaluate and use AI and ML tools.

Authors

  • Andrew Wong
    School of Medicine, University of California, San Francisco.
  • Jeremy Sussman
    Center for Clinical Management Research, VA Ann Arbor Healthcare System, 2215 Fuller Rd, Ann Arbor, MI, 48105, USA.
  • Nicholson Price
    N. Price is professor of law, University of Michigan, Ann Arbor, Michigan.
  • Maggie Makar
    M. Makar is assistant professor, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan.
  • Benjamin Li
    Millburn High School, Millburn, New Jersey, USA.
  • Jun Yang
    Cardiovascular Endocrinology Laboratory, Hudson Institute of Medical Research, Clayton, Victoria, Australia; Department of Medicine, Monash University, Clayton, Victoria, Australia.
  • Cornelius James
    C. James is assistant professor, Departments of Internal Medicine, Pediatrics, and Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan.

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