Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study
Kostin Innovation Fund, Thrasher Research Fund Early Career Award, Boston Children's Hospital Electrophysiology Research Education Fund, National Institutes of Health, National Institute of Childhood Diseases and Human Development, and National Library of Medicine.
Authors
- William La Cava (ORCID: https://orcid.org/0000-0002-1332-2960)
- John K. Triedman (ORCID: https://orcid.org/0000-0002-7456-9596)
- Ryan Kobayashi (ORCID: https://orcid.org/0000-0002-2754-6797)
- Joshua Mayourian (ORCID: https://orcid.org/0000-0002-2364-1260)
- Sunil J. Ghelani (ORCID: https://orcid.org/0000-0002-4227-8823)
- Ivor Asztalos
- Amr El‐Bokl (ORCID: https://orcid.org/0000-0001-8049-2233)
- Victoria L. Vetter (ORCID: https://orcid.org/0000-0002-1937-5262)
- Platon Lukyanenko
Institutions
- Boston Children's Hospital (US)
- Children's Hospital of Philadelphia (US)
- Harvard University (US)
Publication Details
- Journal
- The Lancet Digital Health
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1016/j.landig.2025.01.001
- Citations
- 8
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 11.11
Funders
- Thrasher Research Fund
- Boston Children's Hospital
- U.S. National Library of Medicine