Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance.

Journal: JMIRx med
Published Date:

Abstract

BACKGROUND: Rural health care providers face unique challenges such as limited specialist access and high patient volumes, making accurate diagnostic support tools essential. Large language models like GPT-3 have demonstrated potential in clinical decision support but remain understudied in pediatric differential diagnosis.

Authors

  • Masab Mansoor
    Edward Via College of Osteopathic Medicine, 4408 Bon Aire Dr, Monroe, LA, 71203, United States, 1 5045213500.
  • Andrew F Ibrahim
    Texas Tech University Health Sciences Center School of Medicine, Lubbock, TX, United States.
  • David Grindem
    Mayo Clinic, Rochester, MN, United States.
  • Asad Baig
    Department of Radiology, Columbia University Medical Center, New York, NY, United States.

Keywords

No keywords available for this article.