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

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

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Bibliographic Details
Main Authors:	Rivero Belenchón, Inés (Author) , Checcucci, Enrico (Author) , Gomez Rivas, Juan (Author) , Puliatti, Stefano (Author) , Taratkin, Mark (Author) , Kowalewski, Karl-Friedrich (Author) , Rodler, Severin (Author) , Veccia, Alessandro (Author) , Medina Lopez, Rafael A. (Author) , Cacciamani, Giovanni (Author)
Format:	Article (Journal) Editorial
Language:	English
Published:	2022 December
In:	Minerva urology and nephrology Year: 2022, Volume: 74, Issue: 6, Pages: 810-812
ISSN:	2724-6442
DOI:	10.23736/S2724-6051.22.05180-1
Online Access:	Verlag, lizenzpflichtig, Volltext: https://doi.org/10.23736/S2724-6051.22.05180-1 Verlag, lizenzpflichtig, Volltext: https://www.minervamedica.it/en/journals/minerva-urology-nephrology/article.php?cod=R19Y2022N06A0810
Author Notes:	Inés Rivero Belenchón, Enrico Checcucci, Juan Gómez Rivas, Stefano Puliatti, Mark Taratkin, Karl-Friedrich Kowalewski, Severin Rodler, Alessandro Veccia, Rafael A. Medina Lopez, Giovanni Cacciamani, on behalf of the Uro-Technology and SoMe Working Group of the Young Academic Urologists Working Party of the European Association of Urology

Description
Summary:	Comment on “Artificial intelligence to predict oncological outcome directly from hematoxylin and eosin-stained slides in urology: a systematic review”
Item Description:	Gesehen am 11.09.2023
Physical Description:	Online Resource
ISSN:	2724-6442
DOI:	10.23736/S2724-6051.22.05180-1