Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts? - A systematic review.

Journal: Diagnostic and interventional imaging
Published Date: Dec 12, 2022

Abstract

PURPOSE: The purpose of this study was to perform a systematic review of the literature on the diagnostic performance, in independent test cohorts, of artificial intelligence (AI)-based algorithms aimed at characterizing/detecting prostate cancer on magnetic resonance imaging (MRI).

Authors

  • Olivier Rouviere
    Hospices Civils de Lyon, Department of Urinary and Vascular Imaging, Hôpital Edouard Herriot, Lyon, France.
  • Tristan Jaouen
    LabTAU, INSERM, U1032, Lyon 69003, France.
  • Pierre Baseilhac
    Hospices Civils de Lyon, Hôpital Edouard Herriot, Department of Vascular and Urinary Imaging, Lyon 69003, France.
  • Mohammed Lamine Benomar
    LabTAU, INSERM, U1032, Lyon 69003, France; University of Ain Temouchent, Faculty of Science and Technology, Algeria.
  • Raphael Escande
    Hospices Civils de Lyon, Hôpital Edouard Herriot, Department of Vascular and Urinary Imaging, Lyon 69003, France.
  • Sébastien Crouzet
    Department of Urology, Hôpital Edouard Herriot, Hospices Civils de Lyon, F-69437, Lyon, France.
  • Rémi Souchon
    LabTAU, INSERM, U1032, Lyon 69003, France.

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