Efficacy and Applications of Artificial Intelligence and Machine Learning Analyses in Total Joint Arthroplasty: A Call for Improved Reporting.

Journal: The Journal of bone and joint surgery. American volume
Published Date: Jan 19, 2022

Abstract

BACKGROUND: There has been a considerable increase in total joint arthroplasty (TJA) research using machine learning (ML). Therefore, the purposes of this study were to synthesize the applications and efficacies of ML reported in the TJA literature, and to assess the methodological quality of these studies.

Authors

  • Evan M Polce
    Department of Orthopaedic Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Kyle N Kunze
    Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY, USA.
  • Matthew S Dooley
    University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
  • Nicolas S Piuzzi
    Orthopaedic Machine Learning Laboratory, Cleveland Clinic, Cleveland, OH.
  • Friedrich Boettner
    Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, NY.
  • Peter K Sculco
    The Stavros Niarchos Foundation Complex Joint Reconstruction Center, Department of Orthopaedic Surgery, Hospital for Special Surgery, Washington, District of Columbia, USA.

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