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Artificial Intelligence has Similar Performance to Subjective Assessment of Emphysema Severity on Chest CT.
Ebrahimian, Shadi; Digumarthy, Subba R; Bizzo, Bernardo; Primak, Andrew; Zimmermann, Mathis; Tarbiah, Mohammad Mahmoud; Kalra, Mannudeep K; Dreyer, Keith J.
Afiliação
  • Ebrahimian S; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Digumarthy SR; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Bizzo B; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; MGH and BWH Center for Clinical Data Science, Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
  • Primak A; Siemens Medical Solutions USA Inc., Malvern, Pennsylvania.
  • Zimmermann M; Siemens Healthcare GmbH, Diagnostic Imaging, Erlangen, Germany.
  • Tarbiah MM; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Medical student, University of Jordan, Amman, Jordan.
  • Kalra MK; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts. Electronic address: MKALRA@mgh.harvard.edu.
  • Dreyer KJ; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; MGH and BWH Center for Clinical Data Science, Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
Acad Radiol ; 29(8): 1189-1195, 2022 08.
Article em En | MEDLINE | ID: mdl-34657812
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Enfisema Pulmonar / Enfisema Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Acad Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Enfisema Pulmonar / Enfisema Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Acad Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2022 Tipo de documento: Article