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Conceptual framework and documentation standards of cystoscopic media content for artificial intelligence.
Eminaga, Okyaz; Lee, Timothy Jiyong; Ge, Jessie; Shkolyar, Eugene; Laurie, Mark; Long, Jin; Hockman, Lukas Graham; Liao, Joseph C.
Afiliação
  • Eminaga O; Department of Urology, Stanford University School of Medicine, Stanford, USA; Center for Artificial Intelligence and Medical Imaging, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: okyaz.eminaga@gmail.com.
  • Lee TJ; Department of Urology, Stanford University School of Medicine, Stanford, USA.
  • Ge J; Department of Urology, Stanford University School of Medicine, Stanford, USA.
  • Shkolyar E; Department of Urology, Stanford University School of Medicine, Stanford, USA.
  • Laurie M; Department of Urology, Stanford University School of Medicine, Stanford, USA.
  • Long J; Center for Artificial Intelligence and Medical Imaging, Stanford University School of Medicine, Stanford, CA, USA.
  • Hockman LG; Department of Urology, Stanford University School of Medicine, Stanford, USA.
  • Liao JC; Department of Urology, Stanford University School of Medicine, Stanford, USA; Center for Artificial Intelligence and Medical Imaging, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: jliao@stanford.edu.
J Biomed Inform ; 142: 104369, 2023 06.
Article em En | MEDLINE | ID: mdl-37088456
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Inteligência Artificial / Documentação Tipo de estudo: Qualitative_research Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Inteligência Artificial / Documentação Tipo de estudo: Qualitative_research Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article