Artificial Intelligence for Automated Implant Identification in Knee Arthroplasty: A Multicenter External Validation Study Exceeding 3.5 Million Plain Radiographs.

Journal: The Journal of arthroplasty
Published Date: Mar 20, 2023

Abstract

BACKGROUND: Surgical management of complications following knee arthroplasty demands accurate and timely identification of implant manufacturer and model. Automated image processing using deep machine learning has been previously developed and internally validated; however, external validation is essential prior to scaling clinical implementation for generalizability.

Authors

  • Jaret M Karnuta
    Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH.
  • Hashim J F Shaikh
    University of Rochester Medical Center, Rochester, New York.
  • Michael P Murphy
    Department of Orthopaedic Surgery and Rehabilitation, Loyola University Medical Center, Maywood, IL, USA.
  • Nicholas M Brown
  • Andrew D Pearle
    Hospital for Special Surgery, New York, NY; Weill Cornell Medical College, New York, NY.
  • Danyal H Nawabi
    Sports Medicine - Hip Preservation Service, Hospital for Special Surgery, New York, New York, USA.
  • 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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