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Validation of a deep learning model for traumatic brain injury detection and NIRIS grading on non-contrast CT: a multi-reader study with promising results and opportunities for improvement.
Jiang, Bin; Ozkara, Burak Berksu; Creeden, Sean; Zhu, Guangming; Ding, Victoria Y; Chen, Hui; Lanzman, Bryan; Wolman, Dylan; Shams, Sara; Trinh, Austin; Li, Ying; Khalaf, Alexander; Parker, Jonathon J; Halpern, Casey H; Wintermark, Max.
Afiliação
  • Jiang B; Department of Radiology, Neuroradiology Division, Stanford University, Stanford, CA, USA.
  • Ozkara BB; Department of Neuroradiology, MD Anderson Cancer Center, Houston, TX, USA.
  • Creeden S; Deparment of Neuroradiology, University of Illinois College of Medicine Peoria, Peoria, IL, USA.
  • Zhu G; Department of Neurology, The University of Arizona, Tucson, AZ, USA.
  • Ding VY; Department of Medicine, Stanford University, Stanford, CA, USA.
  • Chen H; Department of Neuroradiology, MD Anderson Cancer Center, Houston, TX, USA.
  • Lanzman B; Department of Radiology, Neuroradiology Division, Stanford University, Stanford, CA, USA.
  • Wolman D; Department of Neuroimaging and Neurointervention, Stanford University, Stanford, CA, USA.
  • Shams S; Department of Radiology, Neuroradiology Division, Stanford University, Stanford, CA, USA.
  • Trinh A; Department of Radiology, Karolinska University Hospital, Stockholm, Sweden.
  • Li Y; Institution for Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
  • Khalaf A; Department of Neuroimaging and Neurointervention, Stanford University, Stanford, CA, USA.
  • Parker JJ; Department of Radiology, Neuroradiology Division, Stanford University, Stanford, CA, USA.
  • Halpern CH; Department of Neuroimaging and Neurointervention, Stanford University, Stanford, CA, USA.
  • Wintermark M; Device-Based Neuroelectronics Laboratory, Mayo Clinic, Phoenix, AZ, USA.
Neuroradiology ; 65(11): 1605-1617, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37269414
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lesões Encefálicas Traumáticas / Aprendizado Profundo / Hidrocefalia Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lesões Encefálicas Traumáticas / Aprendizado Profundo / Hidrocefalia Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article