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

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

Session: Myocardial disease - clinical 7

Topic: Hypertrophic Cardiomyopathy

Speaker: Doctor I. Miranda (Amadora, PT)

Event: Heart Failure 2024

Congress Presentation

About the speaker

Doctor Ines Miranda

Hospital Professor Doutor Fernando Fonseca, Amadora (Portugal)

3 presentations

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7 more presentations in this session

Identification of a novel actin gene mutation, ACTC1 p.Asn94Ile, in a family with cardiomyopathy and conduction disease

Speaker: Doctor R. Sepp (Szeged, HU)

Refining the diagnosis of hypertrophic cardiomyopathy with a machine learning-based radiomics model: a cardiovascular magnetic resonance study

Speaker: Doctor I. Miranda (Amadora, PT)

Different exercise hemodynamic profiles in obstructive and nonobstructive hypertrophic cardiomyopathy: importance of unmasking diastolic dysfunction

Speaker: Doctor C. Baratto (Milan, IT)

Cardiac magnetic resonance feature tracking identifies preclinical abnormalities in hypertrophic cardiomyopathy sarcomere gene mutation carriers

Speaker: Doctor F. Negri (Udine, IT)

Machine-learning based radiomics model to predict ventricular arrythmias in patients with hypertrophic cardiomyopathy

Speaker: Doctor M. Marques Antunes (Lisboa, PT)

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Myocardial disease - clinical 7

Speakers: Doctor I. Miranda, Doctor R. Sepp, Doctor I. Miranda, Doctor C. Baratto, Doctor F. Negri...

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About the event

Heart Failure 2024

11 May - 14 May 2024

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