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Interpretable machine learning for detecting coronary heart disease comorbidity in hypertension: key roles of cardiometabolic indices

29 August 2026 (17:15 - 18:00)
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Congress Presentation Part of: Improving understanding in cardiomyopathies and myocardial disease Hypertensive Heart Disease ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Xin Ma

Lanzhou (China)

5 More presentations in this session

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AI-enabled electrocardiography as a screening tool for peripartum cardiomyopathy: a meta-analysis of diagnostic accuracy
Doctor G. Caldeira Gaelzer (Curitiba, BR)
Abstract
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Left bundle branch block in gene-elusive dilated cardiomyopathy is associated with better prognosis
Doctor D. Cannie (London, GB)
Abstract
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Desmoglein-2 splice-site variant associated with arrhythmogenic right ventricular cardiomyopathy: description of ten patients and hypothesis of a founder effect
Doctor M. Proust (Paris, FR)
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Overlapping phenotype of arrhythmogenic cardiomyopathy and left ventricular hypertrabeculation: clinical characteristics and prognostic implications
Mr L. Qi (Beijing, CN)
Abstract
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GLP-1 Analogues and cardiovascular risk reduction in adults with obesity and elevated CRP: a real-world matched cohort study
Doctor S. Keen (Cleveland, US)
Abstract

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Improving understanding in cardiomyopathies and myocardial disease

The Event

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ESC Congress 2026

29 August 2026 17:15 CET
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