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Impact of an automated large vessel occlusion detection tool on clinical workflow and patient outcomes.
Soun, Jennifer E; Zolyan, Anna; McLouth, Joel; Elstrott, Sebastian; Nagamine, Masaki; Liang, Conan; Dehkordi-Vakil, Farideh H; Chu, Eleanor; Floriolli, David; Kuoy, Edward; Joseph, John; Abi-Jaoudeh, Nadine; Chang, Peter D; Yu, Wengui; Chow, Daniel S.
Afiliação
  • Soun JE; Department of Radiological Sciences, University of California, Irvine, Orange, CA, United States.
  • Zolyan A; Department of Neurology, University of California, Irvine, Orange, CA, United States.
  • McLouth J; Department of Radiological Sciences, University of California, Irvine, Orange, CA, United States.
  • Elstrott S; Department of Radiological Sciences, University of California, Irvine, Orange, CA, United States.
  • Nagamine M; Department of Neurology, University of California, Irvine, Orange, CA, United States.
  • Liang C; Department of Radiological Sciences, University of California, Irvine, Orange, CA, United States.
  • Dehkordi-Vakil FH; Center for Statistical Consulting, School of Medicine, University of California, Irvine, Irvine, CA, United States.
  • Chu E; Department of Radiological Sciences, University of California, Irvine, Orange, CA, United States.
  • Floriolli D; Department of Radiological Sciences, University of California, Irvine, Orange, CA, United States.
  • Kuoy E; Department of Radiological Sciences, University of California, Irvine, Orange, CA, United States.
  • Joseph J; The Paul Merage School of Business, School of Medicine, University of California, Irvine, Irvine, CA, United States.
  • Abi-Jaoudeh N; Department of Radiological Sciences, University of California, Irvine, Orange, CA, United States.
  • Chang PD; Department of Radiological Sciences, University of California, Irvine, Orange, CA, United States.
  • Yu W; Center for Artificial Intelligence in Diagnostic Medicine, University of California, Irvine, Irvine, CA, United States.
  • Chow DS; Department of Neurology, University of California, Irvine, Orange, CA, United States.
Front Neurol ; 14: 1179250, 2023.
Article em En | MEDLINE | ID: mdl-37305764
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Neurol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Neurol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos