Identification of ChatGPT-Generated Abstracts Within Shoulder and Elbow Surgery Poses a Challenge for Reviewers.

Journal: Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
PMID: 38992513

Abstract

PURPOSE: To evaluate the extent to which experienced reviewers can accurately discern between artificial intelligence (AI)-generated and original research abstracts published in the field of shoulder and elbow surgery and compare this with the performance of an AI detection tool.

Authors

  • Ryan D Stadler
    Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, U.S.A.. Electronic address: ryanstadler23@gmail.com.
  • Suleiman Y Sudah
    Department of Orthopaedic Surgery, Monmouth Medical Center, Monmouth, NJ, USA.
  • Michael A Moverman
    Department of Orthopaedics, University of Utah School of Medicine, Salt Lake City, Utah, U.S.A.
  • Patrick J Denard
    Oregon Shoulder Institute, Medford, Oregon, U.S.A.
  • Xavier A Duralde
    Peachtree Orthopedics, Atlanta, Georgia, U.S.A.
  • Grant E Garrigues
    Midwest Orthopaedics at Rush, Chicago, IL, USA.
  • Christopher S Klifto
    Department of Orthopaedic Surgery, Duke University, Durham, NC, USA.
  • Jonathan C Levy
    Levy Shoulder Center at Paley Orthopedic & Spine Institute, Boca Raton, Florida, U.S.A.
  • Surena Namdari
    Rothman Orthopaedic Institute, Thomas Jefferson University, Philadelphia, Pennsylvania.
  • Joaquin Sanchez-Sotelo
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
  • Mariano E Menendez
    Department of Orthopaedics, University of California Davis, Sacramento, California, U.S.A.

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