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Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
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Published on: October 28, 2020

Single lead electrocardiographic detection of left ventricular systolic dysfunction in pediatric and congenital heart

Joshua Mayourian1, Ivor B Asztalos2, William La Cava3

  • 1Department of Cardiology, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA, USA.

NPJ Digital Medicine
|July 11, 2026
PubMed

Insights

This study introduces a novel AI-powered smartwatch ECG model to detect heart dysfunction in pediatric and congenital heart disease (CHD) patients. The technology shows promise for improving global access to specialized cardiac care.

Area of Science:

  • Cardiology
  • Artificial Intelligence
  • Medical Technology

Background:

  • Congenital heart disease (CHD) requires lifelong care, facing global disparities.
  • Existing cardiovascular risk stratification tools are not adequately tailored for pediatric and CHD populations.
  • Accessible technology is needed to bridge the gap in CHD care access.

Purpose of the Study:

  • To develop and validate a noise-adapted, single-lead electrocardiogram (ECG) model using artificial intelligence (AI).
  • To predict left ventricular systolic dysfunction (LVSD) with left ventricular ejection fraction (LVEF) ≤40% in pediatric and CHD patients.
  • To assess the model's performance across diverse patient demographics and healthcare systems.

Main Methods:

  • Development of a noise-adapted, single-lead ECG model utilizing AI algorithms.
  • Internal validation on a cohort of 70,226 patients.
  • External validation using data from Children's Hospital of Philadelphia (CHOP) and Toronto General Hospital (TGH).

Main Results:

  • The AI-ECG model demonstrated strong predictive performance for LVSD.
  • The model showed consistent accuracy across various CHD types, races, ages, and healthcare settings.
  • Successful external validation in large, independent patient cohorts.

Conclusions:

  • AI-enabled wearable ECG technology can effectively identify LVSD in pediatric and CHD patients.
  • This approach has the potential to significantly enhance global access to CHD care.
  • Further prospective studies are recommended to integrate wearable ECG devices into routine pediatric and CHD patient management.

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