Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Review.

Journal: The Journal of arthroplasty
PMID: 31253449

Abstract

BACKGROUND: Driven by the rapid development of big data and processing power, artificial intelligence and machine learning (ML) applications are poised to expand orthopedic surgery frontiers. Lower extremity arthroplasty is uniquely positioned to most dramatically benefit from ML applications given its central role in alternative payment models and the value equation.

Authors

  • Heather S Haeberle
    Department of Orthopaedic Surgery, Baylor College of Medicine, Houston, TX.
  • James M Helm
    Department of Orthopedic Surgery, Machine Learning Arthroplasty Lab, Cleveland Clinic, Cleveland, OH.
  • Sergio M Navarro
    Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, Said Business School, University of Oxford, Oxford, United Kingdom.
  • Jaret M Karnuta
    Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH.
  • Jonathan L Schaffer
    Machine Learning Arthroplasty Lab, Cleveland Clinic, Cleveland, OH.
  • John J Callaghan
    Department of Orthopaedic Surgery, University of Iowa, Iowa City, IA.
  • Michael A Mont
    Department of Orthopaedic Surgery, Lenox Hill Hospital of Northwell Health, New York, NY.
  • Atul F Kamath
    Machine Learning Arthroplasty Lab, Cleveland Clinic, Cleveland, OH.
  • Viktor E Krebs
    Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH.
  • Prem N Ramkumar
    Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH.

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