Artificial intelligence and machine learning in knee arthroplasty.

Journal: The Knee
Published Date: Feb 28, 2025

Abstract

BACKGROUND: Artificial intelligence (AI) and its subset, machine learning (ML), have significantly impacted clinical medicine, particularly in knee arthroplasty (KA). These technologies utilize algorithms for tasks such as predictive analytics and image recognition, improving preoperative planning, intraoperative navigation, and postoperative complication anticipation. This systematic review presents AI-driven tools' clinical implications in total and unicompartmental KA, focusing on enhancing patient outcomes and operational efficiency.

Authors

  • Hugo C Rodriguez
    School of Osteopathic Medicine, University of the Incarnate Word, San Antonio, TX, USA.
  • Brandon D Rust
    Nova Southeastern University, Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, FL, USA.
  • Martin W Roche
    Department of Arthroplasty, Hospital for Special Surgery Florida, West Palm Beach, FL, USA.
  • Ashim Gupta
    Department of Orthopaedics, South Texas Orthopaedic Research Institute, Laredo, TX 78045, United States.

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