Evaluation of information from artificial intelligence on rotator cuff repair surgery.

Journal: JSES international
Published Date:

Abstract

PURPOSE: The purpose of this study was to analyze the quality and readability of information regarding rotator cuff repair surgery available using an online AI software.

Authors

  • Eric Warren
    Duke University School of Medicine, Duke University, Durham, NC, USA.
  • Eoghan T Hurley
    Department of Orthopaedic Surgery, Duke University, Durham, NC, USA.
  • Caroline N Park
    Department of Orthopaedic Surgery, Duke University, Durham, NC, USA.
  • Bryan S Crook
    Department of Orthopaedic Surgery, Duke University, Durham, NC, USA.
  • Samuel Lorentz
    Department of Orthopaedic Surgery, Duke University, Durham, NC, USA.
  • Jay M Levin
    Department of Orthopaedic Surgery, Duke University, Durham, NC, USA.
  • Oke Anakwenze
    Department of Orthopaedic Surgery, Duke University, Durham, NC, USA.
  • Peter B MacDonald
    Section of Orthopaedic Surgery & The Pan Am Clinic, University of Manitoba, Winnipeg, MB, Canada.
  • Christopher S Klifto
    Department of Orthopaedic Surgery, Duke University, Durham, NC, USA.

Keywords

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