Prospective Real-Time Validation of a Lung Ultrasound Deep Learning Model in the ICU.

Journal: Critical care medicine
Published Date:

Abstract

OBJECTIVES: To evaluate the accuracy of a bedside, real-time deployment of a deep learning (DL) model capable of distinguishing between normal (A line pattern) and abnormal (B line pattern) lung parenchyma on lung ultrasound (LUS) in critically ill patients.

Authors

  • Chintan Dave
    Division of Critical Care Medicine, Western University, London, ON N6A 5C1, Canada.
  • Derek Wu
    Google Inc, Mountain View, California.
  • Jared Tschirhart
    Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada.
  • Delaney Smith
    Faculty of Mathematics, University of Waterloo, Waterloo, ON, Canada.
  • Blake VanBerlo
    Schulich School of Medicine, University of Western Ontario, London, Ontario, Canada.
  • Jason Deglint
    Faculty of Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
  • Faraz Ali
    Faculty of Engineering, University of Waterloo, Waterloo, ON, Canada.
  • Rushil Chaudhary
    Department of Medicine, Western University, London, Ontario, Canada.
  • Bennett VanBerlo
    Faculty of Engineering, University of Western Ontario, London, ON N6A 5C1, Canada.
  • Alex Ford
    Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington, United States of America.
  • Marwan A Rahman
    Faculty of Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
  • Joseph McCauley
    Faculty of Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
  • Benjamin Wu
    Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, United States.
  • Jordan Ho
    Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
  • Brian Li
    Faculty of Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
  • Robert Arntfield
    Department of Critical Care Medicine, Western University, London, Ontario, Canada.