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Predictive values of AI-based triage model in suboptimal CT pulmonary angiography.
Ebrahimian, Shadi; Digumarthy, Subba R; Homayounieh, Fatemeh; Bizzo, Bernardo C; Dreyer, Keith J; Kalra, Mannudeep K.
Afiliación
  • Ebrahimian S; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Electronic address: sebrahimian@mgh.harvard.edu.
  • Digumarthy SR; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Electronic address: sdigumarthy@mgh.harvard.edu.
  • Homayounieh F; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
  • Bizzo BC; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Data Science Office, Mass General Brigham, Boston, MA 02114, USA. Electronic address: bbizzo@mgh.harvard.edu.
  • Dreyer KJ; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Data Science Office, Mass General Brigham, Boston, MA 02114, USA. Electronic address: kdreyer@partners.org.
  • Kalra MK; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Electronic address: mkalra@mgh.harvard.edu.
Clin Imaging ; 86: 25-30, 2022 Jun.
Article en En | MEDLINE | ID: mdl-35316621
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Embolia Pulmonar / Triaje Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Embolia Pulmonar / Triaje Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article