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Development of machine learning models for prediction of left ventricular systolic dysfunction in patients with isolated left ventricular dilation

31 August 2024 (18:00 - 18:50)
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Congress Presentation Part of: New imaging insights into cardiomyopathies Morphology, Dimensions, Volumes and Mass ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Ahmed Saleh

University of Alabama, Birmingham (United States of America)

8 More presentations in this session

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Cardiac amyloidosis: a texture issue. a proof of concept study on quantification of granular sparkling in patients with transthyretin-related cardiac amyloidosis using radiomics and granulometry
Doctor S. Mori (Lecco, IT)
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The influence of genetic mutations on multilayer global longitudinal strain values in patients with hypertrophic cardiomyopaty
Doctor A. Geylan (Istanbul, TR)
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Relative interventricular septal brightness for subtype diagnosis of cardiac amyloidosis: pixel brightness analysis using echocardiographic images
Doctor T. Sugimoto (Nagoya, JP)
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Genotype-phenotype correlation of transthyretin cardiomyopathy in patients with stage C/D heart failure: atrial and myocardial mechanics and fibrosis
Assistant Professor P. Phowthongkum (Bangkok, TH)
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Determinants of right ventricular - pulmonary arterial uncoupling in hypertrophic cardiomyopathy
Professor A. Timoteo (Lisbon, PT)
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Access the full session

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New imaging insights into cardiomyopathies

The Event

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ESC Congress 2024

31 August 2024 18:00 CET
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ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources