EDITORIAL COMMENT   Free access

Minerva Urology and Nephrology 2022 December;74(6):810-2

DOI: 10.23736/S2724-6051.22.05180-1

Copyright © 2022 EDIZIONI MINERVA MEDICA

language: English

Comment on “Artificial intelligence to predict oncological outcome directly from hematoxylin and eosin-stained slides in urology: a systematic review”

Inés RIVERO BELENCHÓN ^{1, 2} ✉, Enrico CHECCUCCI ^{2, 3}, Juan GÓMEZ RIVAS ^{2, 4}, Stefano PULIATTI ^{2, 5}, Mark TARATKIN ^{2, 6}, Karl-Friedrich KOWALEWSKI ^{2, 7}, Severin RODLER ^{2, 8}, Alessandro VECCIA ^{2, 9}, Rafael A. MEDINA LOPEZ ¹, Giovanni CACCIAMANI ^{2, 10} on behalf of the Uro-Technology and SoMe Working Group of the Young Academic Urologists Working Party of the European Association of Urology

¹ Department of Urology and Nephrology, Biomedical Institute of Seville (IBiS), Virgen del Rocío University Hospital, University of Seville, Seville, Spain; ² Young Academic Urologist-Urotechnology Working Party (ESUT-YAU), European Association of Urology, Arnhem, the Neatherlands; ³ Division of Urology, Department of Surgery, IRCC Candiolo Cancer Institute, Candiolo, Turin, Italy; ⁴ Department of Urology, San Carlos Hospital, Madrid, Spain; ⁵ Department of Urology, University of Modena and Reggio Emilia, Modena, Italy; ⁶ Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia; ⁷ Department of Urology, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany; ⁸ Department of Urology, Klinikum der Univertität München, Munich, Germany; ⁹ Unit of Urology, AOUI Verona, Verona, Italy; ¹⁰ Catherine and Joseph Aresty Department of Urology, US Institute of Urology, University of Southern California, Los Angeles, CA, USA