Artificial intelligence-guided distal radius fracture detection on plain radiographs in comparison with human raters.

Journal: Journal of orthopaedic surgery and research
PMID: 40380226

Abstract

BACKGROUND: The aim of this study was to compare the performance of artificial intelligence (AI) in detecting distal radius fractures (DRFs) on plain radiographs with the performance of human raters.

Authors

  • Nikolai Ramadanov
    Center of Orthopaedics and Traumatology, Brandenburg Medical School, University Hospital Brandenburg an der Havel, Brandenburg an der Havel, Germany.
  • Patric John
    Center of Orthopaedics and Traumatology, Brandenburg Medical School, University Hospital Brandenburg/Havel, 14770, Brandenburg/Havel, Germany.
  • Robert Hable
    Faculty of Applied Computer Science, Deggendorf Institute of Technology, Deggendorf, Germany.
  • Andreas Georg Schreyer
    Faculty of Health Science Brandenburg, Brandenburg Medical School Theodor Fontane, Brandenburg/Havel, Germany.
  • Simon Shabo
    Faculty of Health Science Brandenburg, Brandenburg Medical School Theodor Fontane, Brandenburg/Havel, Germany.
  • Robert Prill
    Center of Orthopaedics and Traumatology, Brandenburg Medical School, University Hospital Brandenburg an der Havel, Brandenburg an der Havel, Germany.
  • Mikhail Salzmann
    Center of Orthopaedics and Traumatology, Brandenburg Medical School, University Hospital Brandenburg an der Havel, Brandenburg an der Havel, Germany.

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