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Machine learning algorithms for predicting arrhythmic events in hypertrophic cardiomyopathy: limited enhancement beyond late gadolinium enhancement

31 August 2025 (13:15 - 14:00)
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Congress Presentation Part of: Advanced cardiac magnetic resonance imaging in hypertrophic cardiomyopathy Myocardial Disease ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Doctor Joana Certo Pereira

Hospital de Santa Cruz, Carnaxide (Portugal)

5 More presentations in this session

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Diagnostic performance of cardiac diffusion tensor imaging in subclinical hypertrophic cardiomyopathy: a comparison with strain analysis
Doctor M. Asad (Manchester, GB)
Abstract Slides Video
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The prognostic value of right ventricular kinetic energy for predicting adverse events in hypertrophic cardiomyopathy
Professor L. Zhong (Singapore, SG)
Abstract Slides Video
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Evaluation of genotype-phenotype correlation in hypertrophic cardiomyopathy using radiomic analysis of cardiac magnetic resonance
Doctor L. Tassetti (Milan, IT)
Abstract Slides Video
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Prognostic value of left atrioventricular coupling index for the prediction of adverse cardiac outcomes in patients with hypertrophic cardiomyopathy
Doctor S. Titichoatrattana (Bangkok, TH)
Abstract Slides Video
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Insight into left ventricular diastolic compensation in hypertrophic cardiomyopathy with left ventricular outflow obstruction: a 4D flow CMR study
Professor L. Zhong (Singapore, SG)
Abstract Slides Video

Access the full session

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Advanced cardiac magnetic resonance imaging in hypertrophic cardiomyopathy

The Event

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ESC Congress 2025

31 August 2025 13:15 CET
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Congress Presentation
Machine learning algorithms for predicting arrhythmic events in hypertrophic cardiomyopathy: limited enhancement beyond late gadolinium enhancement
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