A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.

Journal: European journal of radiology
Published Date: Feb 5, 2021

Abstract

PURPOSE: As of August 30th, there were in total 25.1 million confirmed cases and 845 thousand deaths caused by coronavirus disease of 2019 (COVID-19) worldwide. With overwhelming demands on medical resources, patient stratification based on their risks is essential. In this multi-center study, we built prognosis models to predict severity outcomes, combining patients' electronic health records (EHR), which included vital signs and laboratory data, with deep learning- and CT-based severity prediction.

Authors

  • Kuang Gong
  • Dufan Wu
  • Chiara Daniela Arru
  • Fatemeh Homayounieh
  • Nir Neumark
  • Jiahui Guan
    Nvidia, Boston, United States.
  • Varun Buch
    Cera Care, London, UK.
  • Kyungsang Kim
  • Bernardo Canedo Bizzo
    MGH & BWH Center for Clinical Data Science, Boston, United States.
  • Hui Ren
  • Won Young Tak
  • Soo Young Park
  • Yu Rim Lee
  • Min Kyu Kang
  • Jung Gil Park
  • Alessandro Carriero
  • Luca Saba
    Department of Radiology, A.O.U., Italy.
  • Mahsa Masjedi
  • Hamidreza Talari
  • Rosa Babaei
  • Hadi Karimi Mobin
  • Shadi Ebrahimian
  • Ning Guo
  • Subba R Digumarthy
    Massachusetts General Hospital, Department of Radiolgoy, United States.
  • Ittai Dayan
  • Mannudeep K Kalra
  • Quanzheng Li
    Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.

Keywords

External Resources

Popular Topics
Recent Journals