External validation of a commercially available deep learning algorithm for fracture detection in children.

Journal: Diagnostic and interventional imaging
Published Date: Nov 19, 2021

Abstract

PURPOSE: The purpose of this study was to conduct an external validation of a fracture assessment deep learning algorithm (Rayvolve®) using digital radiographs from a real-life cohort of children presenting routinely to the emergency room.

Authors

  • Michel Dupuis
    AP-HP, Bicêtre Hospital, Pediatric Imaging Department, 94270 Le Kremlin Bicêtre, France.
  • Léo Delbos
    AP-HP, Bicêtre Hospital, Epidemiology and Public Health Department, 94270 Le Kremlin Bicêtre, France.
  • Raphael Veil
    AP-HP, Bicêtre Hospital, Epidemiology and Public Health Department, 94270 Le Kremlin Bicêtre, France.
  • Catherine Adamsbaum
    Faculty of Medicine, Paris-Saclay University, 94270 Le-Kremlin-Bicêtre, France; Pediatric Radiology Department, Bicêtre Hospital, AP-HP, 94270 Le-Kremlin-Bicêtre, France.

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