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Quantification of COVID-19 Opacities on Chest CT - Evaluation of a Fully Automatic AI-approach to Noninvasively Differentiate Critical Versus Noncritical Patients.
Mader, Christoph; Bernatz, Simon; Michalik, Sabine; Koch, Vitali; Martin, Simon S; Mahmoudi, Scherwin; Basten, Lajos; Grünewald, Leon D; Bucher, Andreas; Albrecht, Moritz H; Vogl, Thomas J; Booz, Christian.
Afiliação
  • Mader C; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany. Electronic address: Christoph.mader@kgu.de.
  • Bernatz S; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany; Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Michalik S; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Koch V; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Martin SS; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Mahmoudi S; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Basten L; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Grünewald LD; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Bucher A; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Albrecht MH; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Vogl TJ; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Booz C; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
Acad Radiol ; 28(8): 1048-1057, 2021 08.
Article em En | MEDLINE | ID: mdl-33741210
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Tomografia Computadorizada por Raios X / COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Tomografia Computadorizada por Raios X / COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article