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Detection of left ventricular hypertrophy on the ECG through machine learning with a focus on obesity.

Congress Presentation

About the speakers

Associate Professor Maria Marketou

University of Crete, Heraklion (Greece)
5 presentations
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Mrs Eleni Angelaki-Kaxiras

2 presentations
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6 more presentations in this session

30 days mortality prediction and risk factor analysis of Asian patients with ACS using interpretable machine learning algorithm

Speaker: Professor S. Kasim (Kuala Lumpur, MY)


Neuronal nets and logistic regression analysis provide improved prediction of infective endocarditis compared to the modified Duke Score: a post-hoc analysis of the prospective PRO-ENDOCARDITIS study

Speaker: Doctor L. Vogel (Essen, DE)


Using artificial intelligence for device identification and characterization in angiographic sequences of TAVI procedures as radiomic biomarkers for prosthesis deterioration

Speaker: Doctor C. Veiga (Vigo, ES)


Predicting cardiovascular risk factors from facial & full body photography using deep learning

Speaker: Mr M. Knorr (Hamburg, DE)


Cardiovascular disease risk prediction via machine learning using mental health data

Speaker: Doctor J. Verjans (Adelaide, AU)


Access the full session

e-Cardiology/Digital health - Artificial intelligence 2

Speakers: Associate Professor M. Marketou, Mrs E. Angelaki-Kaxiras, Professor S. Kasim, Doctor L. Vogel, Doctor C. Veiga...

About the event


ESC Congress 2022

26 August - 29 August 2022

Sessions Presentations

ESC 365 is supported by

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