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Artificial Intelligence Algorithm Detecting Lung Infection in Supine Chest Radiographs of Critically Ill Patients With a Diagnostic Accuracy Similar to Board-Certified Radiologists.
Rueckel, Johannes; Kunz, Wolfgang G; Hoppe, Boj F; Patzig, Maximilian; Notohamiprodjo, Mike; Meinel, Felix G; Cyran, Clemens C; Ingrisch, Michael; Ricke, Jens; Sabel, Bastian O.
Afiliação
  • Rueckel J; Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
  • Kunz WG; Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
  • Hoppe BF; Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
  • Patzig M; Institute of Diagnostic and Interventional Neuroradiology, University Hospital, LMU Munich, Munich, Germany.
  • Notohamiprodjo M; Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany.
  • Meinel FG; DIE RADIOLOGIE, Munich, Germany.
  • Cyran CC; Department of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Rostock, Germany.
  • Ingrisch M; Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
  • Ricke J; DIE RADIOLOGIE, Munich, Germany.
  • Sabel BO; Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
Crit Care Med ; 48(7): e574-e583, 2020 07.
Article em En | MEDLINE | ID: mdl-32433121
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Interpretação de Imagem Assistida por Computador / Radiografia Torácica / Estado Terminal / Pneumopatias Limite: Female / Humans / Male / Middle aged Idioma: En Revista: Crit Care Med Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Interpretação de Imagem Assistida por Computador / Radiografia Torácica / Estado Terminal / Pneumopatias Limite: Female / Humans / Male / Middle aged Idioma: En Revista: Crit Care Med Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Alemanha