Patients' Trust in Artificial Intelligence-based Decision-making for Localized Prostate Cancer: Results from a Prospective Trial.

Journal: European urology focus
Published Date: Nov 1, 2023

Abstract

BACKGROUND: Artificial intelligence (AI) has the potential to enhance diagnostic accuracy and improve treatment outcomes. However, AI integration into clinical workflows and patient perspectives remain unclear.

Authors

  • Severin Rodler
    Department of Urology, Klinikum der Universitaet Muenchen, Munich, Germany.
  • Rega Kopliku
    Department of Urology, LMU University Hospital, Munich, Germany.
  • Daniel Ulrich
    Department of Informatics, Ludwig-Maximilian-Universität München, Munich, Germany.
  • Annika Kaltenhauser
    Department of Informatics, Ludwig-Maximilian-Universität München, Munich, Germany.
  • Jozefina Casuscelli
    Department of Urology, LMU University Hospital, Munich, Germany.
  • Lennert Eismann
    Department of Urology, University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany.
  • Raphaela Waidelich
    Department of Urology, LMU University Hospital, Munich, Germany.
  • Alexander Buchner
    Department of Urology, LMU University Hospital, Munich, Germany.
  • Andreas Butz
    Department of Informatics, Ludwig-Maximilian-Universität München, Munich, Germany.
  • Giovanni E Cacciamani
    USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA - giovanni.cacciamani@med.usc.edu.
  • Christian G Stief
    Department of Urology, University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany.
  • Thilo Westhofen
    Department of Urology, LMU University Hospital, Munich, Germany.

Keywords

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