Generalization of AI-Based Gestational Age Assessment Using Blind Sweep Ultrasonography

Key Points Question Can artificial intelligence (AI) models trained on blind sweep ultrasonography scans generalize to new clinical settings and perform as well as traditional sonographers on estimating gestational age? Findings In this diagnostic study of 385 participants, the AI model effectively generalized to new clinical environments and institutions, achieving a mean absolute error of 4.2 days, which was noninferior to the clinical standard. Meaning This AI system demonstrated strong potential to expand access to diagnostic tasks such as gestational age estimation, particularly in low-resource settings, by enabling novice operators to perform accurate ultrasonography assessments.