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Artificial intelligence-based analysis of novel and established lipid plaque measures in relation to clinical outcome

30 August 2026 (08:15 - 09:00)
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Congress Presentation Part of: Artificial intelligence and cardiovascular disease (2) Imaging ESC Professional Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Mr Thijs Luttikholt

Radboud University Medical Centre, Nijmegen (Netherlands (The))

7 More presentations in this session

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HDLox and neuronal injury biomarkers as early signals of silent strokes after high thromboembolic risk transcatheter procedures
Associate Professor S. Tzikas (Thessaloniki, GR)
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An inflammatory–hyperglycemic stress index predicts mortality in acute coronary syndrome: development and external validation in two large cohorts
Miss K. Zhang (Beijing, CN)
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Simple ultrasound parameters-carotid plaque and coronary Doppler velocity at rest- predict cardiovascular events better than clinical risk factors: the PENSIAMOCI-PRIMA screening study.
Doctor F. Rigo (Dolo, IT)
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Serum amyloid A as a predictor of coronary fatty plaque progression: a comparative analysis of cardiometabolic biomarkers
Doctor S. Ghay (Aventura, US)
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Inflammatory resilience index combining hsCRP, albumin, and appendicular lean mass predicts functional limitations and mortality in U.S. adults: derivation and external validation study.
Doctor V. Jaiswal (Glenview, US)
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Artificial intelligence and cardiovascular disease (2)

The Event

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ESC Congress 2026

30 August 2026 08:15 CET
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