Use of Artificial Intelligence–Based Software to Aid in the Identification of Ultrasound Findings Associated With Fetal Congenital Heart Defects
The use of AI-based software to assist clinicians was associated with enhanced identification of findings suspicious for CHD on prenatal ultrasonography.
Authors
- Christophe Gardella (ORCID: https://orcid.org/0000-0003-3204-9012)
- Caroline F. Friedman
- Jennifer Lam‐Rachlin
- Sara Garmel
- Carolyn M. Zelop (ORCID: https://orcid.org/0000-0002-3077-6083)
- Stephanie Melka
- Alisa Arunamata (ORCID: https://orcid.org/0000-0002-4018-8664)
- Bertrand Stos (ORCID: https://orcid.org/0000-0002-2385-1225)
- Jessica Spiegelman (ORCID: https://orcid.org/0000-0002-1716-2650)
- Kendra R. Sylvester‐Armstrong (ORCID: https://orcid.org/0000-0002-5645-0348)
- Greggory R. DeVore (ORCID: https://orcid.org/0000-0001-8814-572X)
- Marilyne Lévy (ORCID: https://orcid.org/0000-0003-2202-273X)
- Mia A. Heiligenstein (ORCID: https://orcid.org/0009-0005-5023-132X)
- John H. Kennedy
- Valentin Thorey (ORCID: https://orcid.org/0000-0002-8327-815X)
- Matthias Lachaud (ORCID: https://orcid.org/0000-0001-8406-3399)
- Matthew K. Janssen (ORCID: https://orcid.org/0000-0002-2469-0021)
- Rajesh Punn (ORCID: https://orcid.org/0000-0001-9232-2231)
- Andrei Rebarber (ORCID: https://orcid.org/0000-0003-3528-9652)
- Miwa Geiger
- E. Askinazi
- Sarina K. Behera (ORCID: https://orcid.org/0000-0002-7959-5275)
- Malo De Boisredon
- Roger Bessis
- Nadine David
- Sadia Mobeen
- Farnaaz Kia
Institutions
- Centre Hospitalier Universitaire de Grenoble (FR)
- Mount Sinai Hospital (US)
- Université Grenoble Alpes (FR)
Publication Details
- Journal
- Obstetrics and Gynecology
- Published
- 2025-10-16
- DOI
- https://doi.org/10.1097/aog.0000000000006087
- Citations
- 1
- Primary Topic
- Congenital Heart Disease Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.35