Added value of artificial intelligence for the detection of pelvic and hip fractures.

Journal: Japanese journal of radiology
Published Date: Mar 5, 2025

Abstract

PURPOSE: To assess the added value of artificial intelligence (AI) for radiologists and emergency physicians in the radiographic detection of pelvic fractures.

Authors

  • Anthony Jaillat
    Osteoarticular Medical Imaging Section, Department of Medical Imaging, Lapeyronie University Hospital, Montpellier, France.
  • Catherine Cyteval
    Osteoarticular Medical Imaging Section, Department of Medical Imaging Montpellier, University Hospital Centre of Montpellier, Herault, France.
  • Marie-Pierre Baron Sarrabere
    Osteoarticular Medical Imaging Section, Department of Medical Imaging, Lapeyronie University Hospital, Montpellier, France.
  • Hamza Ghomrani
    Emergency Department, Lapeyronie University Hospital, Montpellier, France.
  • Yoav Maman
    Emergency Department, Lapeyronie University Hospital, Montpellier, France.
  • Yann Thouvenin
    Osteoarticular Medical Imaging Section, Department of Medical Imaging Montpellier, University Hospital Centre of Montpellier, Herault, France.
  • Maxime Pastor
    IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30029 Nîmes, France.

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