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Is Artificial Intelligence Replacing Our Radiology Stars? Not Yet!
Cacciamani, Giovanni E; Sanford, Daniel I; Chu, Timothy N; Kaneko, Masatomo; De Castro Abreu, Andre L; Duddalwar, Vinay; Gill, Inderbir S.
Afiliação
  • Cacciamani GE; USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Sanford DI; Artificial Intelligence Center at USC Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
  • Chu TN; USC/Norris Comprehensive Cancer Center, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
  • Kaneko M; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • De Castro Abreu AL; Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Duddalwar V; USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Gill IS; Artificial Intelligence Center at USC Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
Eur Urol Open Sci ; 48: 14-16, 2023 Feb.
Article em En | MEDLINE | ID: mdl-36588775
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article