Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation.

Journal: The Lancet. Digital health
PMID: 33893070

Abstract

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a common, but under-recognised, critical illness syndrome associated with high mortality. An important factor in its under-recognition is the variability in chest radiograph interpretation for ARDS. We sought to train a deep convolutional neural network (CNN) to detect ARDS findings on chest radiographs.

Authors

  • Michael W Sjoding
    1 Department of Internal Medicine, and.
  • Daniel Taylor
    Wellcome EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom.
  • Jonathan Motyka
    Michigan Center for Integrative Research in Critical Care; Ann Arbor, MI, USA.
  • Elizabeth Lee
    Department of Radiology, University of Michigan Medical School, Ann Arbor, MI, USA.
  • Ivan Co
    Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI, USA; Michigan Center for Integrative Research in Critical Care; Ann Arbor, MI, USA.
  • Dru Claar
    Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
  • Jakob I McSparron
    Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA; Michigan Center for Integrative Research in Critical Care; Ann Arbor, MI, USA.
  • Sardar Ansari
    Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA. Michigan Center for Integrative Research in Clinical Care, University of Michigan, Ann Arbor, MI, USA.
  • Meeta Prasad Kerlin
    Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • John P Reilly
    Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Center for Translational Lung Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Michael G S Shashaty
    Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Brian J Anderson
    Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Tiffanie K Jones
    Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Center for Translational Lung Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Harrison M Drebin
    Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Center for Translational Lung Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Caroline A G Ittner
    Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Center for Translational Lung Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Nuala J Meyer
    Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Center for Translational Lung Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Theodore J Iwashyna
    Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, MI.
  • Kevin R Ward
  • Christopher E Gillies
    Department of Pediatrics-Nephrology, University of Michigan School of Medicine, Ann Arbor, MI, USA.

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