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AI-driven echocardiographic phenotyping in patients with heart failure – A help to identify amyloidosis and aortic stenosis in real word hospital cohorts

29 August 2026 (11:15 - 12:00)
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Congress Presentation Part of: Heart failure: diagnostics reimagined: electrocardiogram, artificial intelligence, and transthyretin amyloid cardiomyopathy Imaging ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Meisa Mansour

Institute of Medicine - Sahlgrenska Academy - University of Gothenburg, Gothenburg (Sweden)

6 More presentations in this session

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Electrocardiographic correlates of disease burden in cardiac transthyretin amyloidosis
Doctor T. Krammer (Regensburg, DE)
Abstract Slides Video
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Assessment of transthyretin tetramer stability in patients with ATTR‑CM using a novel probe‑based immunoassay
Associate Professor M. Nagao (JP)
Abstract Slides Video
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Myocardial work in light-chain and transthyretin-related amyloidosis with preserved ejection fraction: a cardiac magnetic resonance study
Doctor S. Liang (Chengdu, CN)
Abstract Slides Video
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Determinants of circulating transthyretin levels across the clinical spectrum of transthyretin amyloidosis
Professor T. Tsuruda (Miyazaki, JP)
Abstract Slides Video
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Circulating transthyretin tetramer as potential prognostic biomarker for outcome prediction in patients with heart failure
Doctor X. Zhang (Dalian, CN)
Abstract Slides Video

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Heart failure: diagnostics reimagined: electrocardiogram, artificial intelligence, and transthyretin amyloid cardiomyopathy

The Event

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ESC Congress 2026

29 August 2026 11:15 CET
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