This chapter examines the evolving role of Artificial Intelligence (AI) in antenatal fetal ultrasound, where it is increasingly integrated to enhance traditional ultrasound methods. AI applications, including Deep Learning (DL), Machine Learning (ML), and Convolutional Neural Networks (CNN), have proven effective in automating the acquisition of standard fetal ultrasound planes, refining biometric measurements, and aiding in the diagnosis of fetal abnormalities. These advancements optimize ultrasound procedures, reducing the time required for standard imaging and improving the accuracy, reliability, and efficiency of conventional approaches. This chapter explores the practical benefits, inherent challenges, and future potential of AI integration in fetal ultrasound, offering insights into its transformative impact on prenatal care.