Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future.

Journal: International orthopaedics
Published Date:

Abstract

BACKGROUND: Artificial Intelligence (AI)/Machine Learning (ML) applications have been proven efficient to improve diagnosis, to stratify risk, and to predict outcomes in many respective medical specialties, including in orthopaedics.

Authors

  • Christophe Nich
    Department of Traumatology and Orthopaedic Surgery, Hotel-Dieu University Hospital, University of Nantes, 1 Place Alexis-Ricordeau, 44093, Nantes Cedex 1, France. pr.christophe.nich@gmail.com.
  • Julien Behr
    Department of Traumatology and Orthopaedic Surgery, Hotel-Dieu University Hospital, University of Nantes, 1 Place Alexis-Ricordeau, 44093, Nantes Cedex 1, France.
  • Vincent Crenn
    Department of Traumatology and Orthopaedic Surgery, Hotel-Dieu University Hospital, University of Nantes, 1 Place Alexis-Ricordeau, 44093, Nantes Cedex 1, France.
  • Nicolas Normand
    LS2N, CNRS UMR 6004, University of Nantes, 2 chemin de la Houssinière, 44300, Nantes, France.
  • Harold Mouchère
    LS2N, CNRS UMR 6004, University of Nantes, 2 chemin de la Houssinière, 44300, Nantes, France.
  • Gaspard d'Assignies
    Incepto Medical, Paris, France.