van den Wittenboer, Gaby J. http://orcid.org/0000-0001-9767-3671
van der Kolk, Brigitta Y. M.
Nijholt, Ingrid M.
Langius-Wiffen, Eline
van Dijk, Rogier A.
van Hasselt, Boudewijn A. A. M.
Podlogar, Martin
van den Brink, Wimar A.
Bouma, Gert Joan
Schep, Niels W. L.
Maas, Mario
Boomsma, Martijn F.
Article History
Received: 17 August 2023
Revised: 7 November 2023
Accepted: 8 December 2023
First Online: 11 January 2024
Declarations
:
: The scientific guarantor of this publication is M.F. Boomsma.
: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
: One of the authors has significant statistical expertise, namely I.M. Nijholt.
: Written informed consent was waived by the Institutional Review Board.
: Institutional Review Board approval was obtained.
: In a previous study, we reported on 411 patients who were also included in the current study. The previous study evaluated the diagnostic accuracy of emergency physicians compared to radiologists in detecting cervical spine injuries and is titled “Assessment of cervical spine CT scans by emergency physicians: A comparative diagnostic accuracy study in a non-clinical setting”.Footnote removed The current study uses 2368 patients to compare the diagnostic accuracy of an artificial intelligence algorithm compared to attending radiologists.
: • retrospective• diagnostic study• performed at one institution