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Fully automated measurements of echocardiographic mechanical dispersion using deep learning: enhanced prediction of ventricular arrhythmias in a large heart failure cohort

2 September 2024 (09:00 - 09:50)
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Congress Presentation Part of: Echocardiographic characterisation of myocardial function in heart failure Technology ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Daniela Melichova

Sorlandet Hospital, Arendal (Norway)

9 More presentations in this session

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Improvement of myocardial contractility after iron replacement in stable heart failure patients
Doctor C. Benavent Garcia (Elche, ES)
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The implementation of speckle tracking echocardiography for cardiac resynchronization therapy optimization. A rotational myocardial mechanics interpretation.
Doctor A. Stefanidis (Pireas, GR)
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Revisiting echocardiographic ranges of left ventricular end-diastolic volume index: an analysis of the discrepancies between the 2006 and the 2015 recommendation for chamber quantification guidelines
Associate Professor F. Larti (Tehran, IR)
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Effects of cardiac resynchronization therapy and physiologicaL pacing on left atrioventricular coupling index: the REPHYL-LACI study
Doctor G. Sanna (Sassari, IT)
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Diastolic dysfunction and survival in patients with preserved or mildly reduced left ventricular ejection fraction
Doctor N. Chan (Herston, AU)
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Access the full session

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Echocardiographic characterisation of myocardial function in heart failure

The Event

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ESC Congress 2024

2 September 2024 09:00 CET
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ESC 365 is supported by

novartis Explore sponsored resources