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

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

Session: New imaging insights into cardiomyopathies

Topic: Morphology, Dimensions, Volumes and Mass

Speaker: Doctor A. Saleh (Birmingham, US)

Event: ESC Congress 2024

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About the speaker

Doctor Ahmed Saleh

University of Alabama, Birmingham (United States of America)

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8 more presentations in this session

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Relative interventricular septal brightness for subtype diagnosis of cardiac amyloidosis: pixel brightness analysis using echocardiographic images

Speaker: Doctor T. Sugimoto (Nagoya, JP)

Genotype-phenotype correlation of transthyretin cardiomyopathy in patients with stage C/D heart failure: atrial and myocardial mechanics and fibrosis

Speaker: Assistant Professor P. Phowthongkum (Krung Thep Maha Nakhon, TH)

Determinants of right ventricular - pulmonary arterial uncoupling in hypertrophic cardiomyopathy

Speaker: Professor A. Timoteo (Lisbon, PT)

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New imaging insights into cardiomyopathies

Speakers: Doctor A. Saleh, Doctor S. Mori, Doctor A. Geylan, Doctor T. Sugimoto, Assistant Professor P. Phowthongkum...

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ESC Congress 2024

30 August - 2 September 2024

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