Application of artificial intelligence in vascular ultrasound： Current status and advances
10.19845/j.cnki.zfysjjbzz.2025.0183
- VernacularTitle:人工智能在血管超声中的应用现状及进展
- Author:
Jiabao LUO
1
;
Feng ZHANG
1
Author Information
1. 中山大学附属第六医院超声科， 广东 广州 510655;广州市黄埔区中六生物医学创新研究院， 广东 广州 510655
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Machine learning;
Ultrasound / Vascular disease
- From:
Journal of Apoplexy and Nervous Diseases
2025;42(11):1001-1007
- CountryChina
- Language:Chinese
-
Abstract:
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.
- Full text:2025122910232818292人工智能在血管超声中的应用现状及进展.pdf
