Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease.

Abstract

Authors

• Joshua Mayourian
  Department of Cardiology (J.M., S.J.G., T.G., A.D., M.E.A., J.K.T.), Boston Children's Hospital, MA.
• Addison Gearhart
  Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.
• William G La Cava
  Computational Health Informatics Program (W.G.L.C.), Boston Children's Hospital, MA.
• Akhil Vaid
  Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA.
• Girish N Nadkarni
  Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
• John K Triedman
  Department of Cardiology (J.M., S.J.G., T.G., A.D., M.E.A., J.K.T.), Boston Children's Hospital, MA.
• Andrew J Powell
  Department of Cardiology, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
• Rachel M Wald
  University of Toronto, Toronto, ON, Canada.
• Anne Marie Valente
  Department of Cardiology, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA.
• Tal Geva
  Department of Cardiology, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
• Son Q Duong
  The Charles Bronfman Institute of Personalized Medicine (A.V., G.N.N., S.Q.D.), Icahn School of Medicine at Mount Sinai, New York, NY.
• Sunil J Ghelani
  Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.

Keywords

External Resources