Artificial intelligence （AI） technologies， especially machine learning algorithms， have achieved remarkable advances in medical image analysis in recent years. As a noninvasive， real-time， and cost-effective imaging modality， vascular ultrasound is one of the most active areas for the application of AI technologies in medicine. This article reviews the latest research advances in the application of AI in vascular ultrasound image recognition， automatic segmentation， diagnostic assistance， and risk prediction in 2021—2025， covering the aspects of transcranial Doppler， carotid artery， abdominal aortic aneurysms， aortic dissection， peripheral artery disease， arteriovenous fistula， venous thrombosis， and the inferior vena cava. This article highlights the key technological innovations， clinical value， and research challenges of AI within these areas.