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Comment on "Artificial intelligence to predict oncological outcome directly from hematoxylin and eosin-stained slides in urology: a systematic review".
Rivero Belenchón, Inés; Checcucci, Enrico; Gómez Rivas, Juan; Puliatti, Stefano; Taratkin, Mark; Kowalewski, Karl-Friedrich; Rodler, Severin; Veccia, Alessandro; Medina Lopez, Rafael A; Cacciamani, Giovanni.
Afiliación
  • Rivero Belenchón I; Department of Urology and Nephrology, Biomedical Institute of Seville (IBiS), Virgen del Rocío University Hospital, University of Seville, Seville, Spain - ines.rivero.belenchon@gmail.com.
  • Checcucci E; Young Academic Urologist-Urotechnology Working Party (ESUT-YAU), European Association of Urology, Arnhem, the Neatherlands - ines.rivero.belenchon@gmail.com.
  • Gómez Rivas J; Young Academic Urologist-Urotechnology Working Party (ESUT-YAU), European Association of Urology, Arnhem, the Neatherlands.
  • Puliatti S; Division of Urology, Department of Surgery, IRCC Candiolo Cancer Institute, Candiolo, Turin, Italy.
  • Taratkin M; Young Academic Urologist-Urotechnology Working Party (ESUT-YAU), European Association of Urology, Arnhem, the Neatherlands.
  • Kowalewski KF; Department of Urology, San Carlos Hospital, Madrid, Spain.
  • Rodler S; Young Academic Urologist-Urotechnology Working Party (ESUT-YAU), European Association of Urology, Arnhem, the Neatherlands.
  • Veccia A; Department of Urology, University of Modena and Reggio Emilia, Modena, Italy.
  • Medina Lopez RA; Young Academic Urologist-Urotechnology Working Party (ESUT-YAU), European Association of Urology, Arnhem, the Neatherlands.
  • Cacciamani G; Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia.
Minerva Urol Nephrol ; 74(6): 810-812, 2022 12.
Article en En | MEDLINE | ID: mdl-36629813
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Urología / Inteligencia Artificial Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Minerva Urol Nephrol Año: 2022 Tipo del documento: Article Pais de publicación: Italia
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Urología / Inteligencia Artificial Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Minerva Urol Nephrol Año: 2022 Tipo del documento: Article Pais de publicación: Italia