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Artificial intelligence (AI)-enhanced electrocardiography: a machine-learning model for differential diagnosis between hypertrophic cardiomyopathy, cardiac amyloidosis and Anderson-Fabry disease

1 September 2024 (15:00 - 15:40)
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Congress Presentation Part of: Anderson-Fabry disease: what is in store? Hypertrophic Cardiomyopathy ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Irene Ruotolo

University Hospital of Bologna S. Orsola-Malpighi Polyclinic, Bologna (Italy)

6 More presentations in this session

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Incidence and risk factors for development of left ventricular hypertrophy in Fabry disease
Doctor E. Monda (Naples, IT)
Abstract Slides Video
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Development and validation of a smartphone based app to guide the differential diagnosis in patients with primary left ventricular hypertrophy: the Thick Heart App
Doctor N. Maurizi (Lausanne, CH)
Abstract Slides Video
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Anderson-Fabry disease patients with anatomical heart hypertrophy express a higher degree of electrocardiographic hypertrophy compared to hypertrophic cardiomyopathy patients
Doctor F. Di Nicola (Bologna, IT)
Abstract Slides Video
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Prognostic role of ECG patterns in Anderson Fabry disease.
Doctor S. Serratore (Catanzaro, IT)
Abstract Slides Video
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Changes in peak oxygen consumption on excercise and cardiomyopathy disease stage in Fabry disease
Doctor A. Roy (Birmingham, GB)
Abstract Slides Video

Access the full session

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Anderson-Fabry disease: what is in store?

The Event

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ESC Congress 2024

1 September 2024 15:00 CET
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ESC 365 is supported by

novartis Explore sponsored resources