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A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.
Gong, Kuang; Wu, Dufan; Arru, Chiara Daniela; Homayounieh, Fatemeh; Neumark, Nir; Guan, Jiahui; Buch, Varun; Kim, Kyungsang; Bizzo, Bernardo Canedo; Ren, Hui; Tak, Won Young; Park, Soo Young; Lee, Yu Rim; Kang, Min Kyu; Park, Jung Gil; Carriero, Alessandro; Saba, Luca; Masjedi, Mahsa; Talari, Hamidreza; Babaei, Rosa; Mobin, Hadi Karimi; Ebrahimian, Shadi; Guo, Ning; Digumarthy, Subba R; Dayan, Ittai; Kalra, Mannudeep K; Li, Quanzheng.
Afiliación
  • Gong K; Department of Radiology, Massachusetts General Hospital, Boston, United States.
  • Wu D; Department of Radiology, Massachusetts General Hospital, Boston, United States.
  • Arru CD; Department of Radiology, Massachusetts General Hospital, Boston, United States.
  • Homayounieh F; Department of Radiology, Massachusetts General Hospital, Boston, United States.
  • Neumark N; MGH & BWH Center for Clinical Data Science, Boston, United States.
  • Guan J; Nvidia, Boston, United States.
  • Buch V; MGH & BWH Center for Clinical Data Science, Boston, United States.
  • Kim K; Department of Radiology, Massachusetts General Hospital, Boston, United States.
  • Bizzo BC; MGH & BWH Center for Clinical Data Science, Boston, United States.
  • Ren H; Department of Radiology, Massachusetts General Hospital, Boston, United States.
  • Tak WY; Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
  • Park SY; Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
  • Lee YR; Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
  • Kang MK; Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, South Korea.
  • Park JG; Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, South Korea.
  • Carriero A; Radiologia, Azienda Ospedaliera Universitaria Maggiore della Carità, Novara, Italy.
  • Saba L; Radiologia, Azienda Ospedaliera Universitaria Policlinico di Monserrato, Italy.
  • Masjedi M; Department of Radiology, Kashan University of Medical Sciences, Kashan, Iran.
  • Talari H; Department of Radiology, Kashan University of Medical Sciences, Kashan, Iran.
  • Babaei R; Department of Radiology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
  • Mobin HK; Department of Radiology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
  • Ebrahimian S; Department of Radiology, Massachusetts General Hospital, Boston, United States.
  • Guo N; Department of Radiology, Massachusetts General Hospital, Boston, United States.
  • Digumarthy SR; Department of Radiology, Massachusetts General Hospital, Boston, United States.
  • Dayan I; MGH & BWH Center for Clinical Data Science, Boston, United States.
  • Kalra MK; Department of Radiology, Massachusetts General Hospital, Boston, United States. Electronic address: MKALRA@mgh.harvard.edu.
  • Li Q; Department of Radiology, Massachusetts General Hospital, Boston, United States. Electronic address: Li.Quanzheng@mgh.harvard.edu.
Eur J Radiol ; 139: 109583, 2021 Jun.
Article en En | MEDLINE | ID: mdl-33846041
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / COVID-19 Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Eur J Radiol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Irlanda
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / COVID-19 Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Eur J Radiol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Irlanda