Enhancing wrist arthroscopy: artificial intelligence applications for bone structure recognition using machine learning.

Journal: Hand surgery & rehabilitation
PMID: 38797353

Abstract

INTRODUCTION: Wrist arthroscopy is a rapidly expanding surgical discipline, but has a long and challenging learning curve. One of its difficulties is distinguishing the various anatomical structures during the procedure. Although artificial intelligence has made significant progress in recent decades, its potential as a valuable tool in surgery training is largely untapped.

Authors

  • Antoni Orgiu
    Orthopaedic, Traumatological Surgery Department, Avicenne University Hospital, Paris, France. Electronic address: antoniorgiu@hotmail.fr.
  • Bihes Karkazan
    Orthopaedic, Traumatological Surgery Department, Avicenne University Hospital, Paris, France.
  • Stuart Cannell
    Orthopaedic, Traumatological Surgery Department, Avicenne University Hospital, Paris, France.
  • Léo Dechaumet
    La Maison des Sciences Numériques - University Sorbonne Paris Nord, Paris, France.
  • Younes Bennani
    La Maison des Sciences Numériques - University Sorbonne Paris Nord, Paris, France.
  • Thomas Grégory
    Orthopaedic, Traumatological Surgery Department, Avicenne University Hospital, Paris, France.

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