AI-derived carotid plaque vulnerability from B-mode ultrasound for cerebrovascular risk stratification: a multicenter cohort study
Researchers have developed a multicenter AI framework that uses B-mode ultrasound to detect carotid plaque and assess its vulnerability to rupture. The study demonstrates that the AI model outperforms human readers and provides significant prognostic value for predicting ischemic cerebrovascular events.
Why it matters
This technology could standardize stroke risk assessment and improve clinical decision-making for patients with cardiovascular disease using existing, low-cost imaging tools.
npj Digital Medicine ( 2026 ) Cite this article
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