Assessment and comparison of artificial intelligence-generated information regarding shoulder arthroplasty from multiple interfaces.

Journal: Journal of shoulder and elbow surgery
Published Date: Feb 17, 2025

Abstract

BACKGROUND: This study aims to analyze and compare the quality, accuracy, and readability of information regarding anatomic total shoulder arthroplasty (aTSA) and reverse total shoulder arthroplasty (rTSA) provided by various AI interfaces (Open AI's ChatGPT and Microsoft's CoPilot).

Authors

  • Suhasini Gupta
    UMass Chan Medical School, Worcester, Massachusetts, U.S.A.
  • Brett D Haislup
    Department of Shoulder and Elbow Surgery, MedStar Union Memorial Hospital, Baltimore, MD, USA. Electronic address: Brett.d.haislup@gmail.com.
  • Anisha Tyagi
    Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
  • Suleiman Y Sudah
    Department of Orthopaedic Surgery, Monmouth Medical Center, Monmouth, NJ, USA.
  • Ryan A Hoffman
    Department of Shoulder and Elbow Surgery, MedStar Union Memorial Hospital, Baltimore, MD, USA.
  • Anand M Murthi
    Department of Shoulder and Elbow Surgery, MedStar Union Memorial Hospital, Baltimore, MD, USA.

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