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AI-assisted ultrasound helps Shanghai GPs spot carotid plaque

A Shanghai primary-care study found trained general practitioners using AI-enhanced point-of-care ultrasound detected carotid plaque with 87% sensitivity and 91% specificity.

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This is the kind of quiet healthcare-AI study that should not get lost under model releases. An Annals of Family Medicine tip sheet on EurekAlert describes a study where seven general practitioners across four Shanghai community health centers received about five weeks of training, then screened 169 older adults at high risk for atherosclerotic cardiovascular disease using AI-enhanced point-of-care ultrasound. Compared with expert ultrasonologists, the GPs correctly identified plaque when present 87% of the time and correctly cleared patients without plaque 91% of the time. The result suggests AI-assisted imaging plus structured training could extend carotid plaque screening into community care. The caveats are important: this is a small study, performance varied by GP, and misses clustered at the carotid bifurcation. Watch larger validation and real-world workflow results.

Key details: Annals of Family Medicine, EurekAlert, May 27, 2026, Shanghai, Zhongshan Hospital, Fudan University, 7 general practitioners, 169 older adults.

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