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  • [\'Department of Radiology, Massachusetts General Hospital, Boston, United States.\', \'MGH & BWH Center for Clinical Data Science, Boston, United States.\', \'Nvidia, Boston, United States.\', \'Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.\', \'Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, South Korea.\', \'Radiologia, Azienda Ospedaliera Universitaria Maggiore della Carità, Novara, Italy.\', \'Radiologia, Azienda Ospedaliera Universitaria Policlinico di Monserrato, Italy.\', \'Department of Radiology, Kashan University of Medical Sciences, Kashan, Iran.\', \'Department of Radiology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.\', \'Department of Radiology, Massachusetts General Hospital, Boston, United States. Electronic address: MKALRA@mgh.harvard.edu.\', \'Department of Radiology, Massachusetts General Hospital, Boston, United States. Electronic address: Li.Quanzheng@mgh.harvard.edu.\']
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  • -1
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  • S0720-048X(21)00063-210.1016/j.ejrad.2021.109583
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  • European journal of radiology
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  • 33846041
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?:title
  • A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.
?:type
?:year
  • 2021

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