Generative AI in Medical Education

Are you a faculty member hoping to incorporate Generative AI into your educational innovations? In this webinar, speaker Dr. Carl Preiksaitis introduces the basics of Generative AI and large language models and discusses the benefits, opportunities, and challenges that such technology presents for medical education.
Authors

  • Sara Wattenbarger, DO

    Assistant Professor

    University of South Alabama

    Dr. Sara Wattenbarger is an Assistant Professor in the Department of Emergency Medicine at the University of South Alabama. She completed her medical training at Midwestern University Arizona College of Osteopathic Medicine and residency at Arrowhead Regional Medical Center in San Bernardino County, California. Her research and educational interests include mass casualty response, leadership skills in resuscitation, and active learning techniques in medical education. She is pursuing her master’s degree in academic medicine at the Keck School of Medicine of the University of Southern California, and is currently serving on the SAEM education committee.
  • PreiksaitisCarl2023

    Carl Preiksaitis, MD

    Clinical Instructor

    Stanford University

    Dr. Carl Preiksaitis is a Medical Education Fellow and Clinical Instructor in the Department of Emergency Medicine at Stanford University. Dr. Preiksaitis completed his medical training at New York University School of Medicine and a residency in emergency medicine at Stanford. His scholarly interests include digital technology and medical education, reproductive healthcare in the emergency department, and healthcare innovation. He is currently pursuing a master’s degree in medical education at the University of Cincinnati.

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