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Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading.
Wulczyn, Ellery; Nagpal, Kunal; Symonds, Matthew; Moran, Melissa; Plass, Markus; Reihs, Robert; Nader, Farah; Tan, Fraser; Cai, Yuannan; Brown, Trissia; Flament-Auvigne, Isabelle; Amin, Mahul B; Stumpe, Martin C; Müller, Heimo; Regitnig, Peter; Holzinger, Andreas; Corrado, Greg S; Peng, Lily H; Chen, Po-Hsuan Cameron; Steiner, David F; Zatloukal, Kurt; Liu, Yun; Mermel, Craig H.
  • Wulczyn E; Google Health, Palo Alto, CA USA.
  • Nagpal K; Google Health, Palo Alto, CA USA.
  • Symonds M; Google Health, Palo Alto, CA USA.
  • Moran M; Google Health, Palo Alto, CA USA.
  • Plass M; Medical University of Graz, Graz, Austria.
  • Reihs R; Medical University of Graz, Graz, Austria.
  • Nader F; Medical University of Graz, Graz, Austria.
  • Tan F; Google Health, Palo Alto, CA USA.
  • Cai Y; Google Health, Palo Alto, CA USA.
  • Brown T; Google Health via Advanced Clinical, Deerfield, IL USA.
  • Flament-Auvigne I; Google Health via Advanced Clinical, Deerfield, IL USA.
  • Amin MB; Department of Pathology and Laboratory Medicine, University of Tennessee Health Science Center, Memphis, TN USA.
  • Stumpe MC; Google Health, Palo Alto, CA USA.
  • Müller H; Present Address: Tempus Labs Inc, Chicago, IL USA.
  • Regitnig P; Medical University of Graz, Graz, Austria.
  • Holzinger A; Medical University of Graz, Graz, Austria.
  • Corrado GS; Medical University of Graz, Graz, Austria.
  • Peng LH; Google Health, Palo Alto, CA USA.
  • Chen PC; Google Health, Palo Alto, CA USA.
  • Steiner DF; Google Health, Palo Alto, CA USA.
  • Zatloukal K; Google Health, Palo Alto, CA USA.
  • Liu Y; Medical University of Graz, Graz, Austria.
  • Mermel CH; Google Health, Palo Alto, CA USA.
Commun Med (Lond) ; 1: 10, 2021.
Article en En | MEDLINE | ID: mdl-35602201

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article