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Artificial intelligence–driven temporal clinical and ECG modeling for personalized sudden cardiac death risk prediction in hypertrophic cardiomyopathy

28 August 2026 (09:15 - 10:00)
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Congress Presentation Part of: Hypertrophic cardiomyopathy: artificial intelligence and risk prediction Hypertrophic Cardiomyopathy ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Leopoldo Ordine

University of Naples Federico II, Naples (Italy)

7 More presentations in this session

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Distinct comorbidity and functional profiles in obstructive versus non-obstructive hypertrophic cardiomyopathy in the prospective TORCH registry
Doctor C. Reich (Heidelberg, DE)
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Evaluation of the localization of coronary microvascular dysfunction in obstructive hypertrophic cardiomyopathy and the therapeutic effects of alcohol septal ablation
Doctor T. Terauchi (Tsukuba, JP)
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Long-term prognostic value of left ventricular outflow tract gradient in hypertrophic cardiomyopathy
Mr E. Klaassen Barba (Rotterdam, NL)
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Enhancing clinical care in obstructive hypertrophic cardiomyopathy: the use of artificial intelligence for echocardiographic follow-up during treatment with mavacamten.
Ms A. Van Hoogdalem (NL)
Abstract Slides Video
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Mavacamten shows benefits in patients with symptomatic obstructive hypertrophic cardiomyopathy with latent obstruction: global evidence from COLLIGO-HCM
Doctor E. Paratz (Melbourne, AU)
Abstract Slides Video

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Hypertrophic cardiomyopathy: artificial intelligence and risk prediction

The Event

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ESC Congress 2026

28 August 2026 09:15 CET
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