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Diagnostic test accuracy study of a commercially available deep learning algorithm for ischemic lesion detection on brain MRIs in suspected stroke patients from a non-comprehensive stroke center.
Krag, Christian H; Müller, Felix C; Gandrup, Karen L; Raaschou, Henriette; Andersen, Michael B; Brejnebøl, Mathias W; Sagar, Malini V; Bojsen, Jonas A; Rasmussen, Benjamin S; Graumann, Ole; Nielsen, Mads; Kruuse, Christina; Boesen, Mikael.
Afiliação
  • Krag CH; Department of Radiology, Herlev and Gentofte Hospital, Herlev, Denmark; Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark. Electronic address: christian.hedeager.krag.01@regionh.dk.
  • Müller FC; Department of Radiology, Herlev and Gentofte Hospital, Herlev, Denmark.
  • Gandrup KL; Department of Radiology, Herlev and Gentofte Hospital, Herlev, Denmark.
  • Raaschou H; Department of Radiology, Herlev and Gentofte Hospital, Herlev, Denmark.
  • Andersen MB; Department of Radiology, Herlev and Gentofte Hospital, Herlev, Denmark; Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Brejnebøl MW; Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Radiology, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark.
  • Sagar MV; Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Neurology, Herlev and Gentofte Hospital, Herlev, Denmark.
  • Bojsen JA; Department of Radiology, Odense University Hospital, Odense, Denmark.
  • Rasmussen BS; Department of Radiology, Odense University Hospital, Odense, Denmark.
  • Graumann O; Department of Radiology, Odense University Hospital, Odense, Denmark.
  • Nielsen M; Department of Computer Science, University of Copenhagen, Denmark.
  • Kruuse C; Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Neurology, Herlev and Gentofte Hospital, Herlev, Denmark.
  • Boesen M; Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Radiology, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark.
Eur J Radiol ; 168: 111126, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37804650
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Isquemia Encefálica / Acidente Vascular Cerebral / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adolescent / Aged / Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Isquemia Encefálica / Acidente Vascular Cerebral / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adolescent / Aged / Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article