Artificial Intelligence Large Language Models Address Anterior Cruciate Ligament Reconstruction: Superior Clarity and Completeness by Gemini Compared With ChatGPT-4 in Response to American Academy of Orthopaedic Surgeons Clinical Practice Guidelines.

Journal: Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Published Date: Sep 21, 2024

Abstract

PURPOSE: To assess the ability of ChatGPT-4 and Gemini to generate accurate and relevant responses to the 2022 American Academy of Orthopaedic Surgeons (AAOS) Clinical Practice Guidelines (CPG) for anterior cruciate ligament reconstruction (ACLR).

Authors

  • Matthew Quinn
    Department of Orthopaedics, The Warren Alpert Medical School of Brown University, Providence, Rhode Island, U.S.A.. Electronic address: msquinn1218@gmail.com.
  • John D Milner
    Department of Orthopaedics, The Warren Alpert Medical School of Brown University, Providence, Rhode Island, U.S.A.
  • Phillip Schmitt
    The Warren Alpert Medical School of Brown University, Providence, Rhode Island, U.S.A.
  • Patrick Morrissey
    Department of Orthopaedics, The Warren Alpert Medical School of Brown University, Providence, Rhode Island, U.S.A.
  • Nicholas Lemme
    Department of Orthopaedics, The Warren Alpert Medical School of Brown University, Providence, Rhode Island, U.S.A.
  • Stephen Marcaccio
    Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, U.S.A.
  • Steven DeFroda
    Department of Orthopaedic Surgery, Missouri Orthopaedic Institute, University of Missouri, Columbia, Missouri, U.S.A.
  • Ramin Tabaddor
    Department of Orthopaedics, The Warren Alpert Medical School of Brown University, Providence, Rhode Island, U.S.A.
  • Brett D Owens
    Department of Orthopedics, Brown University, Providence, RI, USA.

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