Artificial Intelligence for Automated Implant Identification in Total Hip Arthroplasty: A Multicenter External Validation Study Exceeding Two Million Plain Radiographs.

Journal: The Journal of arthroplasty
Published Date: Oct 1, 2023

Abstract

BACKGROUND: The surgical management of complications after total hip arthroplasty (THA) necessitates accurate identification of the femoral implant manufacturer and model. Automated image processing using deep learning has been previously developed and internally validated; however, external validation is necessary prior to responsible application of artificial intelligence (AI)-based technologies.

Authors

  • Jaret M Karnuta
    Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH.
  • Michael P Murphy
    Department of Orthopaedic Surgery and Rehabilitation, Loyola University Medical Center, Maywood, IL, USA.
  • Bryan C Luu
    Orthopaedic Machine Learning Lab, Cleveland Clinic, Cleveland, Ohio, U.S.A.; Department of Orthopaedic Surgery, Baylor College of Medicine, Houston, Texas, U.S.A.
  • Michael J Ryan
    Orthopaedic Machine Learning Laboratory, Orthopaedic Intelligence LLC, Cleveland Heights, OH.
  • Heather S Haeberle
    Department of Orthopaedic Surgery, Baylor College of Medicine, Houston, TX.
  • Nicholas M Brown
  • Richard Iorio
    Department of Orthopaedic Surgery, Brigham & Women's Hospital, Boston, MA.
  • Antonia F Chen
    Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Prem N Ramkumar
    Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH.

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