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Artificial intelligence–derived epicardial fat predicts major adverse cardiovascular events in suspected CAD

29 August 2026 (08:15 - 09:00)
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Congress Presentation Part of: Cardiovascular risk prediction in coronary artery disease: role of epicardial fat, lipids, inflammation, coagulation, and comorbidities Epidemiology, Prognosis, Outcome ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Professor Liang Zhong

National Heart Centre Singapore, Singapore (Singapore)

5 More presentations in this session

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The impact of kidney function on long-term outcomes following myocardial infarction in patients with diabetes mellitus
Associate Professor L. Savic (Belgrade, RS)
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Prognostic value of twelve systemic inflammatory indices for composite cardiovascular events in chronic coronary syndrome patients with or without diabetes undergoing PCI
Doctor L. Liu (Beijing, CN)
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Association between coagulation factor XI level and cardiovascular events: a prospective cohort study in patients with suspected functionally relevant coronary artery disease
Ms F. Nafaa (Basel, CH)
Abstract Slides Video
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The independent association of mortality with LDL-C management, and number and types of atherosclerotic cardiovascular disease events: a large nationwide real-world cohort study
Professor A. Catapano (Milan, IT)
Abstract Slides Video
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Association of Lipoprotein(a) with cardiovascular and all-cause mortality in China: a cohort study based on cardiorenal improvementNT-II
Mr Z. Yuan (CN)
Abstract Slides Video

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Cardiovascular risk prediction in coronary artery disease: role of epicardial fat, lipids, inflammation, coagulation, and comorbidities

The Event

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ESC Congress 2026

29 August 2026 08:15 CET
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