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Development and Multinational Validation of Artificial Intelligence-Enabled ASCVD Risk Stratification Using Electrocardiograms

2026-01-06

Abstract excerpt

<h4>Aims</h4> Despite the availability of clinical risk scores for atherosclerotic cardiovascular disease (ASCVD), their use is limited because the required predictor data are often missing. We developed and validated ECG-ASCVD, a scalable risk prediction paradigm that utilizes ECGs to target ASCVD risk factor assessment. <h4>Methods</h4> Adults aged 30-79 who had undergone a clinical ECG were identified in the...

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Literature Corpus work
1db6d39b-70d6-5d51-8c85-a6fabca135c7
DOI
10.64898/2026.01.05.26343465
Open publication

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Development and Multinational Validation of Artificial Intelligence-Enabled ASCVD Risk Stratification Using ElectrocardiogramsDOI 10.64898/2026.01.05.26343465
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