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Cardiometabolic phenotyping from Coronary Artery Calcium (CAC) scans predicts obstructive and high-risk plaques on Coronary CT Angiography (CCTA): an AI-CVD study within Miami Heart Study

30 August 2026 (15:06 - 15:18)
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Congress Presentation Part of: Advanced cardiac computed tomography phenotyping: artificial intelligence for plaque, perfusion, and cardiometabolic risk Coronary Calcium ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Seyed Reza Mirjalili

University of Liverpool, Life Science Building, Liverpool (United Kingdom of Great Britain & Northern Ireland)

4 More presentations in this session

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Long-term lung cancer risk prediction using Sybil AI on routine coronary artery calcium scans: a 15-year study in the Multi-Ethnic Study of Atherosclerosis (MESA) study
Doctor M. Mozafarybazargany (Ithaca, US)
Abstract
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Prognostic impact of the extent of myocardial perfusion defect assessed by dynamic computed tomography perfusion
Mr F. Altadill Balsells (Barcelona, ES)
Abstract
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Association between changes in pericoronary adipose tissue attenuation and compositional plaque progression as assessed by coronary computed tomography angiography
Doctor K. Tsigaridis (Melbourne, AU)
Abstract
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AI-enabled cardiac chamber volumetry from non-gated chest CT versus echocardiography for prediction of heart failure and atrial fibrillation: an AI-CVD study
Doctor S. Mirjalili (Liverpool, GB)
Abstract

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Advanced cardiac computed tomography phenotyping: artificial intelligence for plaque, perfusion, and cardiometabolic risk

The Event

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ESC Congress 2026

30 August 2026 15:06 CET
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