AI at the Womb's Edge: Transformative Technologies in Fetal Monitoring

Abstract

Fetal monitoring is a critical aspect of prenatal care, aimed at assessing the well-being of the fetus during pregnancy and labor. Traditional fetal monitoring techniques, such as cardiotocography (CTG) and ultrasound, have been instrumental in reducing perinatal morbidity and mortality. However, these methods have limitations in accuracy, reliability, and interpretation. In recent years, the integration of artificial intelligence (AI) technologies into fetal monitoring systems has shown promising results in enhancing diagnostic accuracy and improving patient outcomes. This chapter provides a comprehensive review of the advancements in AI-powered fetal monitoring techniques, including machine learning algorithms, deep learning models, and computer vision approaches. The review also discusses the challenges, opportunities, and future directions in the field of AI-powered fetal monitoring.