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AI-ECG detection of diastolic dysfunction: A screening approach for early HFpEF

28 August 2026 (11:15 - 11:25)
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Congress Presentation Part of: The future of heart failure care: artificial intelligence, biomarkers, early detection and beyond Imaging ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Assistant Professor Moonseung SOH

Ajou University School of Medicine, Suwon (Korea (Republic of))

5 More presentations in this session

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Epigenetic scores and aging clocks capture mortality risk in heart failure
Doctor P. Meyre (Hamilton, CA)
Abstract Slides Video
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Definition of anaemia in heart failure: are the WHO thresholds too low?
Doctor M. Chimura (Glasgow, GB)
Abstract Slides Video
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External validation of artificial intelligence–based electrocardiographic models for heart failure detection across diverse clinical settings
Mr A. Champetier (Basel, CH)
Abstract Slides Video
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Externally validated AI-driven multimodal prediction of progression from Stage B (asymptomatic LV dysfunction) to overt heart failure: incremental prognostic value of GLS and NT-proBNP
Doctor H. Ramteke (Chimur, IN)
Abstract Slides Video
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The association between heart rate variability, epicardial adipose tissue, and clinical outcomes in heart failure patients
Doctor Y. Yu (Shanghai, CN)
Abstract Slides Video

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The future of heart failure care: artificial intelligence, biomarkers, early detection and beyond
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The Event

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ESC Congress 2026

28 August 2026 11:15 CET
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