Comparison of Artificial Intelligence to Resident Performance on Upper-Extremity Orthopaedic In-Training Examination Questions.

Journal: Journal of hand surgery global online
Published Date:

Abstract

PURPOSE: Currently, there is a paucity of prior investigations and studies examining applications for artificial intelligence (AI) in upper-extremity (UE) surgical education. The purpose of this investigation was to assess the performance of a novel AI tool (ChatGPT) on UE questions on the Orthopaedic In-Training Examination (OITE). We aimed to compare the performance of ChatGPT to the examination performance of hand surgery residents.

Authors

  • Yagiz Ozdag
    Department of Orthopaedic Surgery, Geisinger Musculoskeletal Institute, Geisinger Commonwealth School of Medicine, Danville, PA.
  • Daniel S Hayes
    Department of Orthopaedic Surgery, Geisinger Musculoskeletal Institute, Geisinger Commonwealth School of Medicine, Danville, PA.
  • Gabriel S Makar
    Department of Orthopaedic Surgery, Geisinger Musculoskeletal Institute, Geisinger Commonwealth School of Medicine, Danville, PA.
  • Shahid Manzar
    Department of Orthopaedic Surgery, Geisinger Musculoskeletal Institute, Geisinger Commonwealth School of Medicine, Danville, PA.
  • Brian K Foster
    Department of Orthopaedic Surgery, Geisinger Musculoskeletal Institute, Geisinger Commonwealth School of Medicine, Danville, PA.
  • Mason J Shultz
    Department of Orthopaedic Surgery, Geisinger Musculoskeletal Institute, Geisinger Commonwealth School of Medicine, Danville, PA.
  • Joel C Klena
    Department of Orthopaedic Surgery, Geisinger Musculoskeletal Institute, Geisinger Commonwealth School of Medicine, Danville, PA.
  • Louis C Grandizio
    Department of Orthopaedic Surgery, Geisinger Musculoskeletal Institute, Geisinger Commonwealth School of Medicine, Danville, PA.

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