Deep Learning-Based Automated Echocardiographic Measurements in Pediatric and Congenital Heart Disease
EchoFocus-Measure delivers rapid and reliable automated echo measurements across ages and lesions within diverse internal and real-world external cohorts, serving as a step toward scalable, global access to high-quality pediatric cardiovascular care.
Authors
- William La Cava (ORCID: https://orcid.org/0000-0002-1332-2960)
- Manouk Kirakosian
- Janet H. Kane
- Sunil J. Ghelani (ORCID: https://orcid.org/0000-0002-4227-8823)
- Platon Lukyanenko
- Bohan Jiang
- Yuting Yang
- David Michael Harrild
- Timothy Miller
- Kaitlyn Tracy
- Joshua Mayourian
- Tal Geva
- Andrew Powell
- John Triedman
Institutions
- Boston Children's Hospital (US)
- Harvard University (US)
Publication Details
- Journal
- medRxiv
- Published
- 2026-02-09
- DOI
- https://doi.org/10.64898/2026.02.06.26345782
- Primary Topic
- Congenital Heart Disease Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00