颈动脉超声在心血管疾病中的研究进展:从传统影像到人工智能OA

The incidence and mortality of cardiovascular diseases(CVD)in China have been continuously rising,posing a serious threat to public health.Extensive studies have demonstrated the important value of carotid ultrasound in the prediction and diagnosis of cardiovascular risks.In recent years,artificial intelligence(AI)has rapidly advanced in the field of ultrasonic imaging,showing great promise in the intelligent identification of carotid plaques,extraction of vul-nerable features and assessment of cardiovascular risk.This article systematically reviews the relevant literature to summa-rize the research progress of carotid ultrasound metrics from traditional imaging to the integration of AI technologies.Focu-sing on core metrics such as carotid intima-media thickness,plaque burden,vulnerability features,and hemodynamic pa-rameters,it explores the correlation between these indicators and CVD.Furthermore,the review provides a comprehensive outlook on the advances and translational challenges of AI in this field,aiming to provide a theoretical basis and cutting-edge support for the early diagnosis and intervention of CVD.