Peer-Reviewed Publication
Obstet Gynecol2026;147(1):108-117.January 1, 2026Journal Article
Use of Artificial Intelligence-Based Software to Aid in the Identification of Ultrasound Findings Associated With Fetal Congenital Heart Defects.
Jennifer Lam-Rachlin1, Rajesh Punn, Sarina K Behera, Miwa Geiger, Matthias Lachaud, Nadine David, Sara Garmel, Nathan S Fox, Andrei Rebarber, Greggory R DeVore, Carolyn M Zelop, Matthew K Janssen, Kendra R Sylvester-Armstrong, John Kennedy, Jessica Spiegelman, Mia Heiligenstein, Roger Bessis, Sadia Mobeen, Farnaaz Kia, Caroline Friedman, Stephanie Melka, Bertrand Stos, Malo De Boisredon, Eric Askinazi, Valentin Thorey, Christophe Gardella, Marilyne Levy, Alisa Arunamata
1Maternal Fetal Medicine Division Mount Sinai West, and the Division of Pediatric Cardiology, Icahn School of Medicine at Mount Sinai Hospital, Carnegie Imaging for Women PLLC, the New York University School of Medicine, and Maternal Fetal Medicine Associates, New York, New York; Pediatrics - Cardiology, Stanford University School of Medicine, Stanford, Pediatric Cardiology, Palo Alto Medical Foundation, Sutter Health, Palo Alto, and the Fetal Diagnostic Center of Pasadena, Pasadena, California; Université Grenoble Alpes, Fetal and Pediatric Cardiology, CHU Grenoble Alpes, Grenoble, the Medical Training Center, Rouen, and Centre d'Echographie de l'Odéon, UE3C-Unité d'explorations cardiologiques - Cardiopathies Congénitales, Cardiology, Hopital universitaire Necker-Enfants malades, and BrightHeart, Paris, France; Maternal Fetal Medicine, Michigan Perinatal Associates and Corewell Health, and Corewell Health East, Dearborn, and Wayne State University School of Medicine, Detroit, Michigan; Fetal Echocardiography and Perinatal Research-Valley Health System, Paramus, New Jersey; the Division of Maternal Fetal Medicine, Pennsylvania Hospital, University of Pennsylvania, Philadelphia, Pennsylvania; and Maternal Fetal Medicine, Perinatal Specialists of the Palm Beaches, West Palm Beach, Florida.
Abstract
OBJECTIVE: To evaluate whether artificial intelligence (AI)-based software was associated with enhanced identification of eight second-trimester fetal ultrasound findings suspicious for congenital heart defects (CHDs) among obstetrician-gynecologists (ob-gyns) and maternal-fetal medicine specialists.
METHODS: A dataset of 200 fetal ultrasound examinations from 11 centers, including 100 with at le…
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