Fetal gestational age estimation using artificial intelligence on non-targeted ultrasound images and video.

ABSTRACT: We developed a deep learning model trained on over two million ultrasound images from 78,531 pregnancies from Australia, India, and the UK to estimate gestational age (GA) directly from any fetal ultrasound image, regardless of orientation. The model outputs both a GA estimate and an uncertainty value based on image quality. Independent validation on 36,762 ultrasound images from 742 fetuses showed a mean absolute error (MAE) of 1.7 days at 14-18 weeks and 2.8 days at 18-24 weeks, significantly outperforming traditional biometry (p < 0.001). In video analysis, the model achieved a median prediction time of 24 s and an MAE below 3 days across all trimesters. Performance was consistent across maternal body mass index (BMI) categories and geographic settings. This AI-based GA estimation metho

SUBMITTER: Benson M 

PROVIDER: S-EPMC12635104 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature