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Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning.
Chamberlin, Jordan H; Aquino, Gilberto; Nance, Sophia; Wortham, Andrew; Leaphart, Nathan; Paladugu, Namrata; Brady, Sean; Baird, Henry; Fiegel, Matthew; Fitzpatrick, Logan; Kocher, Madison; Ghesu, Florin; Mansoor, Awais; Hoelzer, Philipp; Zimmermann, Mathis; James, W Ennis; Dennis, D Jameson; Houston, Brian A; Kabakus, Ismail M; Baruah, Dhiraj; Schoepf, U Joseph; Burt, Jeremy R.
Afiliación
  • Chamberlin JH; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Aquino G; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Nance S; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Wortham A; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Leaphart N; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Paladugu N; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Brady S; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Baird H; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Fiegel M; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Fitzpatrick L; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Kocher M; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Ghesu F; Siemens Healthineers, Malvern, PA, USA.
  • Mansoor A; Siemens Healthineers, Malvern, PA, USA.
  • Hoelzer P; Siemens Healthineers, Malvern, PA, USA.
  • Zimmermann M; Siemens Healthineers, Malvern, PA, USA.
  • James WE; Department of Internal Medicine, Division of Pulmonary, Critical Care, Allergy & Sleep Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Dennis DJ; Department of Internal Medicine, Division of Pulmonary, Critical Care, Allergy & Sleep Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Houston BA; Department of Internal Medicine, Division of Cardiology, Medical University of South Carolina, Charleston, SC, USA.
  • Kabakus IM; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Baruah D; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Schoepf UJ; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA.
  • Burt JR; Department of Radiology and Radiologic Sciences, Division of Cardiothoracic Radiology, Medical University of South Carolina, Charleston, SC, USA. burtje@musc.edu.
BMC Infect Dis ; 22(1): 637, 2022 Jul 21.
Article en En | MEDLINE | ID: mdl-35864468
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / COVID-19 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: BMC Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / COVID-19 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: BMC Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2022 Tipo del documento: Article