LAUSR

Key Points Question Can an artificial intelligence (AI) model predict gestational age with higher accuracy than standard fetal biometry–based estimates by leveraging standard plane ultrasonography images and fly-to ultrasonography videos? Findings In this diagnostic study with a test set of 404 participants, all image, video, and ensemble AI models were statistically superior to standard fetal biometry–based gestational age estimates derived from images captured by expert sonographers. The ensemble model had the lowest mean absolute error, with a mean difference of −1.51 days. Meaning These findings suggest that AI models have the potential to empower trained ultrasonography operators to estimate gestational age with higher accuracy.