Patient perspectives on the use of artificial intelligence in prostate cancer diagnosis on MRI.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: This study investigated patients' acceptance of artificial intelligence (AI) for diagnosing prostate cancer (PCa) on MRI scans and the factors influencing their trust in AI diagnoses.

Authors

  • Stefan J Fransen
    University Medical Centre Groningen, Department of Radiology, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands. Electronic address: S.j.fransen@umcg.nl.
  • T C Kwee
    University Medical Center Groningen, Groningen, Netherlands.
  • D Rouw
    Martini Hospital, Groningen, Netherlands.
  • C Roest
    University Medical Center Groningen, Groningen, Netherlands.
  • Q Y van Lohuizen
    University Medical Center Groningen, Groningen, Netherlands.
  • F F J Simonis
    Twente Technical University, Enschede, Netherlands.
  • P J van Leeuwen
    Department of Urology, Antoni van Leeuwenhoek Hospital (NCI-AVL), Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
  • S Heijmink
    Dutch Cancer Institute, Amsterdam, Netherlands.
  • Y P Ongena
    University of Groningen, Groningen, Netherlands.
  • M Haan
    University of Groningen, Groningen, Netherlands.
  • D Yakar
    University Medical Center Groningen, Groningen, Netherlands.