Current Applications of Artificial Intelligence in Obstetric Ultrasound

doi:10.26599/AUDT.2025.250095

Abstract

Abstract:

Artificial Intelligence (AI) technology has made remarkable progress in fetal ultrasound examinations, particularly excelling in fetal growth monitoring, organ function assessment, and early disease diagnosis. By automating the analysis of fetal ultrasound images, AI can accurately measure fetal biometric parameters and assist in diagnosing issues such as fetal growth restriction and organ developmental abnormalities. It demonstrates significant application potential in evaluating multiple organ systems including the fetal lungs, nervous system, cardiovascular system, and placenta, substantially enhancing the efficiency and accuracy of prenatal screening. This paper aims to review the current status of AI applications in obstetric ultrasound, while also exploring its limitations and future prospects.

Key words: Artificial intelligence; Obstetric ultrasound; Deep learning; Convolutional neural networks; Machine learning

Li Yanran, Cui Yuanjie, Wu Qingqing, Zhang Na. Current Applications of Artificial Intelligence in Obstetric Ultrasound. Advanced Ultrasound in Diagnosis and Therapy, 2025, 9(4): 449-456.

Figures/Tables 2

References 42

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