AI分析颈动脉斑块风险研究
AI-derived carotid plaque vulnerability from B-mode ultrasound for cerebrovascular risk stratification: a multicenter cohort study
精选理由
医学AI新突破，用普通超声就能预测中风风险，准确率还更高。
研究人员开发了一种AI系统，可通过B型超声图像分析颈动脉斑块脆弱性。该研究在多个医疗中心进行，纳入了大量患者数据。AI系统在预测脑血管风险方面表现出色，准确率超过传统方法。这项技术有望帮助医生更早识别高风险患者。
原文 · npj Digital Medicine
AI-derived carotid plaque vulnerability from B-mode ultrasound for cerebrovascular risk stratification: a multicenter cohort study
npj Digital Medicine, Published online: 08 September 2026; doi:10.1038/s41746-026-03201-4 AI-derived carotid plaque vulnerability from B-mode ultrasound for cerebrovascular risk stratification: a multicenter cohort study