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Updated: Oct 28, 2026
Murine Fetal Echocardiography
Published on: February 15, 2013
Artificial Intelligence-Assisted Automation of Fetal Anomaly Ultrasound Scanning
1Division of Newborn Medicine, Edward Mallinckrodt Department of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis Children's Hospital, St. Louis.
Abstract:
AbstractImproving sensitivity and specificity of fetal anomaly ultrasound screening may be feasible with implementation of AI models. This study describes a prospective trial to test an AI model in real world fetal anomaly ultrasound screening. Despite limitations of cohort size, variability in sonographer training and experience, and focus on detection of anomalies in a single organ (the heart), the study provides evidence of noninferiority of AI-assisted fetal anomaly ultrasound screening vs. manual unassisted screening.