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

Abstract

Authors

• Ines Rivero Belenchon
  Department of Urology and Nephrology, Virgen del Rocío University Hospital, Seville, Spain.
• Enrico Checcucci
  Division of Urology, Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy.
• Juan Gomez Rivas
  Department of Urology, Clinico San Carlos University Hospital, Madrid, Spain.
• Stefano Puliatti
  Urology Department, University of Modena and Reggio Emilia, Modena, Italy.
• Mark Taratkin
  Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia.
• Karl-Friedrich Kowalewski
  Department of General, Visceral, and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
• Severin Rodler
  Department of Urology, Klinikum der Universitaet Muenchen, Munich, Germany.
• Alessandro Veccia
  Department of Urology, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
• Rafael A Medina Lopez
  Department of Urology and Nephrology, Biomedical Institute of Seville (IBiS), Virgen del Rocío University Hospital, University of Seville, Seville, Spain.
• Giovanni Cacciamani
  Department of Urology, Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.

Keywords

External Resources