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Accurate gestational age assessment is important for optimizing maternal and infant health outcomes. Access to first-trimester ultrasound, the most accurate method of measuring gestational age, can be limited, particularly in low-resource settings.
Researchers at the University of North Carolina previously developed a deep-learning artificial intelligence (AI) model that estimated gestational age from blind ultrasound sweeps and incorporated it into a handheld point-of-care ultrasound (POCUS) device (NEJM Evid 2022; 1:evidoa2100058). Now, they compare gestational age calculations for 400 pregnant patients at 2 sites (Zambia and North Carolina) made by novice users of AI-enhanced POCUS (with 1 day of training) and by credentialled sonographer…