Peking University People's Hospital

A Peking University-led team aligned routine single-lead ECG with physician-authored echocardiography reports to train AnyECG-Echo, a screening framework that resolves 13 fine-grained structural heart disease subtypes at once. Earlier AI-ECG models mostly required 12-lead input, were validated within a single health system, or needed per-condition manual labels. Across internal, temporal and geographically independent external cohorts totaling 25,222 patients, the framework reached high AUROC for high-impact subtypes such as reduced left ventricular systolic function, global heart enlargement and mitral stenosis, and retained usable discrimination in the external cohort.

A Peking University-led team aligned routine single-lead ECG with physician-authored echocardiography reports to train AnyECG-Echo, a screening framework that resolves 13 fine-grained structural heart disease subtypes at once. Earlier AI-ECG models mostly required 12-lead input, were validated within a single health system, or needed per-condition manual labels. Across internal, temporal and geographically independent external cohorts totaling 25,222 patients, the framework reached high AUROC for high-impact subtypes such as reduced left ventricular systolic function, global heart enlargement and mitral stenosis, and retained usable discrimination in the external cohort.

This cross-sectional study analyzed 165,549 users across 34 Chinese provinces and cities who completed at least one valid smartwatch-measured pulse wave velocity (SW-PWV) reading on compatible Huawei watches between December 2020 and August 2022, of whom 35,402 completed the "Vascular Health" app questionnaire; SW-PWV correlated positively with age (r=.6323), male sex and BMI (r=.1981), was significantly elevated in participants with hypertension, diabetes, dyslipidemia, coronary heart disease, stroke and carotid plaque (with hypertension and carotid plaque showing the strongest correlations), discriminated prevalent cardiovascular disease with an AUC of 0.71, and at the guideline cfPWV threshold of 10 m/s showed 13.6% sensitivity and 96.

This cross-sectional study analyzed 165,549 users across 34 Chinese provinces and cities who completed at least one valid smartwatch-measured pulse wave velocity (SW-PWV) reading on compatible Huawei watches between December 2020 and August 2022, of whom 35,402 completed the "Vascular Health" app questionnaire; SW-PWV correlated positively with age (r=.6323), male sex and BMI (r=.1981), was significantly elevated in participants with hypertension, diabetes, dyslipidemia, coronary heart disease, stroke and carotid plaque (with hypertension and carotid plaque showing the strongest correlations), discriminated prevalent cardiovascular disease with an AUC of 0.71, and at the guideline cfPWV threshold of 10 m/s showed 13.6% sensitivity and 96.