Retraining an Artificial Intelligence Algorithm to Calculate Left Ventricular Ejection Fraction in Pediatrics.

Journal: Journal of cardiothoracic and vascular anesthesia
Published Date: May 7, 2022

Abstract

OBJECTIVES: Identifying patients with low left ventricular ejection fraction (LVEF) and monitoring LVEF responses to treatment are important clinical goals. Can a deep-learning algorithm predict pediatric LVEF within clinically acceptable error?

Authors

  • Mael Zuercher
    Department of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Anesthesia, University of Toronto, Toronto, Ontario, Canada.
  • Steven Ufkes
    Division of Genetics and Genome Biology, Hospital for Sick Children, Research Institute, Toronto, Ontario, Canada; Center for Computational Medicine Hospital for Sick Children, Research Institute, Toronto, Ontario, Canada.
  • Lauren Erdman
    Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada.
  • Cameron Slorach
    Department of Cardiology, The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada.
  • Luc Mertens
    Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
  • Katherine Taylor
    BerbeeWalsh Department of Emergency Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

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