Predicting Prolonged Hospitalization and Supplemental Oxygenation in Patients with COVID-19 Infection from Ambulatory Chest Radiographs using Deep Learning.

Journal: Academic radiology
Published Date: May 21, 2021

Abstract

RATIONALE AND OBJECTIVES: The clinical prognosis of outpatients with coronavirus disease 2019 (COVID-19) remains difficult to predict, with outcomes including asymptomatic, hospitalization, intubation, and death. Here we determined the prognostic value of an outpatient chest radiograph, together with an ensemble of deep learning algorithms predicting comorbidities and airspace disease to identify patients at a higher risk of hospitalization from COVID-19 infection.

Authors

  • Ayis Pyrros
    DuPage Medical Group, Radiology. Electronic address: ayis@ayis.org.
  • Adam Eugene Flanders
    Thomas Jefferson University Hospital, Radiology.
  • Jorge Mario Rodríguez-Fernández
    University of Illinois at Chicago, Department of Neurology.
  • Andrew Chen
    University of Illinois at Urbana-Champaign, Department of Computer Science.
  • Patrick Cole
    University of Illinois at Urbana-Champaign, Department of Computer Science.
  • Daniel Wenzke
    NorthShore University HealthSystem Research Institute, Department of Radiology.
  • Eric Hart
    Northwestern Memorial Hospital, Northwestern University, Radiology.
  • Samuel Harford
    Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois, United States.
  • Jeanne Horowitz
    Northwestern Memorial Hospital, Northwestern University, Radiology.
  • Paul Nikolaidis
    Northwestern Memorial Hospital, Northwestern University, Radiology.
  • Nadir Muzaffar
    DuPage Medical Group, Radiology.
  • Viveka Boddipalli
    DuPage Medical Group, Radiology.
  • Jai Nebhrajani
    University of Illinois at Chicago, Department of Medicine.
  • Nasir Siddiqui
    DuPage Medical Group, Radiology.
  • Melinda Willis
    DuPage Medical Group, Radiology.
  • Houshang Darabi
    Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Room 2055, ERF Building, 842 W Taylor Street, Chicago, IL 60607, USA.
  • Oluwasanmi Koyejo
    University of Illinois at Urbana-Champaign, Department of Computer Science.
  • William Galanter
    Department of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America.

Keywords

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