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Artificial intelligence-guided screening of under-recognized cardiomyopathies adapted for point-of-care echocardiography

1 September 2024 (08:45 - 08:55)
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Congress Presentation Part of: Imaging to improve diagnosis and risk-stratification of cardiomyopathies Myocardial Disease ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Evangelos K Oikonomou

Yale School of Medicine, New Haven (United States of America)

5 More presentations in this session

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Long-term outcomes of patients with apical hypertrophic cardiomyopathy: incorporation of a novel risk score.
Doctor M. Desai (Cleveland, US)
Abstract Slides Video
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Identification and validation of ventricular rhythmic risk subgroups in hypertrophic cardiomyopathy by clustering analysis including left ventricular strain analysis
Doctor A. Al wazzan (Rennes, FR)
Abstract Slides Video
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Automated deep learning approach for identifying etiologies of hypertrophic phenocopies by echocardiography
Mr P. Su (Taipei, TW)
Abstract Slides Video
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Extra cellular volume by computed tomography is useful for prediction of prognosis in cardiac sarcoidosis
Doctor Y. Nishikawa (Chiba, JP)
Abstract Slides Video
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Arrhythmogenic right ventricular cardiomyopathy: the importance of biventricular strain in risk-stratification
Doctor A. Chua (Leiden, NL)
Abstract Slides Video

Access the full session

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Imaging to improve diagnosis and risk-stratification of cardiomyopathies
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The Event

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ESC Congress 2024

1 September 2024 08:45 CET
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ESC 365 is supported by

novartis Explore sponsored resources