Evaluating Artificial Intelligence-Based Writing Assistance Among Published Orthopaedic Studies: Detection and Trends for Future Interpretation.

Journal: The Journal of bone and joint surgery. American volume
Published Date: May 30, 2025

Abstract

BACKGROUND: The integration of artificial intelligence (AI), particularly large language models (LLMs), into scientific writing has led to questions about its ethics, prevalence, and impact in orthopaedic literature. While tools have been developed to detect AI-generated content, the interpretation of AI detection percentages and their clinical relevance remain unclear. The aim of this study was to quantify AI involvement in published orthopaedic manuscripts and to establish a statistical threshold for interpreting AI detection percentages.

Authors

  • Tucker Callanan
    Department of Orthopaedic Surgery, Brown University Health, Providence, Rhode Island.
  • Josue Marquez
    Warren Alpert Medical School, Brown University, Providence, Rhode Island.
  • Claire Pisani
    Warren Alpert Medical School, Brown University, Providence, Rhode Island.
  • Phillip Schmitt
    The Warren Alpert Medical School of Brown University, Providence, Rhode Island, U.S.A.
  • John Pietro
    Warren Alpert Medical School, Brown University, Providence, Rhode Island.
  • Miaoyan Chen
    Warren Alpert Medical School, Brown University, Providence, Rhode Island.
  • John Milner
    Department of Orthopaedic Surgery, Brown University Health, Providence, Rhode Island.
  • Mohammad Daher
    Department of Orthopedic Surgery, The Warren Alpert Medical School, Brown University, Providence, RI 02912, USA.
  • Luka Katz
    Warren Alpert Medical School, Brown University, Providence, Rhode Island.
  • Jonathan Liu
    Dept. of Biomedical Engineering, Johns Hopkins University, Baltimore MD.
  • Alan H Daniels
    1Division of Spine Surgery and.

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