Artificial intelligence-driven framework for improving prenatal screening for congenital heart disease in rural Nebraska
By decentralizing diagnostics and enabling earlier triaging in community settings, this scalable, accessible framework offers a practical solution for improving prenatal CHD detection in underserved regions, with strong potential for national replication.
Authors
- Shine Kumar (ORCID: https://orcid.org/0000-0002-1050-9025)
- Alex J. Foy (ORCID: https://orcid.org/0000-0002-2715-2894)
- Jason Christensen (ORCID: https://orcid.org/0000-0002-9231-8029)
- Neil Hamill (ORCID: https://orcid.org/0000-0002-5796-2433)
- Ling Li (ORCID: https://orcid.org/0000-0002-0087-3034)
- Jieqiong Wang (ORCID: https://orcid.org/0000-0003-3096-0208)
- Jeffrey W. Delaney
- Aaron Lanik
Institutions
- University of Nebraska at Omaha (US)
- Children's Hospital & Medical Center (US)
Publication Details
- Journal
- Frontiers in Pediatrics
- Published
- 2025-10-08
- DOI
- https://doi.org/10.3389/fped.2025.1653305
- Primary Topic
- Congenital Heart Disease Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00