Diagnostic accuracy of an artificial intelligence algorithm versus radiologists for fracture detection on cervical spine CT.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: To compare diagnostic accuracy of a deep learning artificial intelligence (AI) for cervical spine (C-spine) fracture detection on CT to attending radiologists and assess which undetected fractures were injuries in need of stabilising therapy (IST).

Authors

  • Gaby J van den Wittenboer
    Department of Radiology and Nuclear Medicine, Isala, Dr. van Heesweg 2, Zwolle, The Netherlands. g.j.wittenboer@isala.nl.
  • Brigitta Y M van der Kolk
    Department of Radiology and Nuclear Medicine, Isala, Dr. van Heesweg 2, Zwolle, The Netherlands.
  • Ingrid M Nijholt
    Department of Radiology and Nuclear Medicine, Isala, P.O. Box 10400, 8000 GK Zwolle, The Netherlands.
  • Eline Langius-Wiffen
    Department of Radiology, Isala Hospital, Dr. Van Heesweg 2, 8025 AB, Zwolle, The Netherlands. elinelangius@gmail.com.
  • Rogier A van Dijk
    Department of Radiology, Isala Hospital, Dr. Van Heesweg 2, 8025 AB, Zwolle, The Netherlands.
  • Boudewijn A A M van Hasselt
    Department of Radiology and Nuclear Medicine, Isala, P.O. Box 10400, 8000 GK Zwolle, The Netherlands.
  • Martin Podlogar
    Department of Neurosurgery, Isala, P.O. Box 10400, 8000 GK Zwolle, The Netherlands.
  • Wimar A Van den Brink
    Department of Neurosurgery, Isala Hospital, Zwolle, The Netherlands.
  • Gert Joan Bouma
    Department of Neurosurgery, Amsterdam University Medical Centers, Location Academic Medical Center, Meibergdreef 9, Amsterdam, The Netherlands.
  • Niels W L Schep
    Department of Trauma Surgery, Maasstad Hospital, P.O. Box 9100, 3007 AC Rotterdam, The Netherlands.
  • Mario Maas
    Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, The Netherlands.
  • Martijn F Boomsma
    Department of Radiology and Nuclear Medicine, Isala, P.O. Box 10400, 8000 GK Zwolle, The Netherlands.