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Unraveling the complexity of hypertrophic cardiomyopathy: a machine learning-based radiomics model to predict phenotype and cardiovascular events

11 May 2024 (08:00 - 20:00)
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Congress Presentation Part of: Myocardial disease - clinical 7 Hypertrophic Cardiomyopathy HFA Premium Access Heart Failure 2024 Heart Failure Association (HFA)

About the speaker

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Doctor Ines Miranda

Hospital Professor Doutor Fernando Fonseca, Amadora (Portugal)

7 More presentations in this session

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Identification of a novel actin gene mutation, ACTC1 p.Asn94Ile, in a family with cardiomyopathy and conduction disease
Doctor R. Sepp (Szeged, HU)
Abstract Slides Video
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Refining the diagnosis of hypertrophic cardiomyopathy with a machine learning-based radiomics model: a cardiovascular magnetic resonance study
Doctor I. Miranda (Amadora, PT)
Abstract Slides Video
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Different exercise hemodynamic profiles in obstructive and nonobstructive hypertrophic cardiomyopathy: importance of unmasking diastolic dysfunction
Doctor C. Baratto (Bergamo, IT)
Abstract Slides Video
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Cardiac magnetic resonance feature tracking identifies preclinical abnormalities in hypertrophic cardiomyopathy sarcomere gene mutation carriers
Doctor F. Negri (Udine, IT)
Abstract Slides Video
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Machine-learning based radiomics model to predict ventricular arrythmias in patients with hypertrophic cardiomyopathy
Doctor M. Marques Antunes (Lisboa, PT)
Abstract Slides

Access the full session

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Myocardial disease - clinical 7

The Event

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Heart Failure 2024

11 May - 14 May 2024
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