Pragmatic Evaluation of a Deep-Learning Algorithm to Automate Ejection Fraction on Hand-Held, Point-of-Care Echocardiography in a Cardiac Surgical Operating Room.

Journal: Journal of cardiothoracic and vascular anesthesia
PMID: 38307740

Abstract

OBJECTIVE: To test the correlation of ejection fraction (EF) estimated by a deep-learning-based, automated algorithm (Auto EF) versus an EF estimated by Simpson's method.

Authors

  • Emily J MacKay
    Department of Anesthesiology and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
  • Shyam Bharat
    Philips Research, North America, Cambridge, MA.
  • Rashid A Mukaddim
    Philips Research, North America, Cambridge, MA.
  • Ramon Erkamp
    Philips Research, North America, Cambridge, MA.
  • Jonathan Sutton
    Philips Research, North America, Cambridge, MA.
  • Ather K Muhammad
    Alabama College of Osteopathic Medicine, Dothan, AL.
  • Joseph S Savino
    Department of Anesthesiology and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
  • Jiri Horak
    Department of Anesthesiology and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.

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