Artificial intelligence and pain medicine education: Benefits and pitfalls for the medical trainee.

Journal: Pain practice : the official journal of World Institute of Pain
PMID: 39588809

Abstract

OBJECTIVES: Artificial intelligence (AI) represents an exciting and evolving technology that is increasingly being utilized across pain medicine. Large language models (LLMs) are one type of AI that has become particularly popular. Currently, there is a paucity of literature analyzing the impact that AI may have on trainee education. As such, we sought to assess the benefits and pitfalls that AI may have on pain medicine trainee education. Given the rapidly increasing popularity of LLMs, we particularly assessed how these LLMs may promote and hinder trainee education through a pilot quality improvement project.

Authors

  • Michael Glicksman
    Department of Physical Medicine and Rehabilitation, University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania, USA.
  • Sheri Wang
    Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania, USA.
  • Samir Yellapragada
    University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Christopher Robinson
    Department of Anesthesiology, Perioperative, and Pain Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Vwaire Orhurhu
    University of Pittsburgh Medical Center (UPMC), Susquehanna, Williamsport, Pennsylvania, USA.
  • Trent Emerick
    Department of Anesthesiology and Perioperative Medicine, Chronic Pain Division, University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania, USA.

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