ESC 365 - Multivariate time-series clustering of cardiopulmonary exercise test data for cardiovascular risk stratification

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Multivariate time-series clustering of cardiopulmonary exercise test data for cardiovascular risk stratification

Session: Breakthroughs in artificial intelligence-powered cardiac diagnosis and risk prediction

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Mr E. Ntalianis (Leuven, BE)

Event: ESC Congress 2024

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Mr Evangelos Ntalianis

Leuven (Belgium)

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8 more presentations in this session

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Speaker: Professor I. Jung (Yongin, KR)

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Speaker: Doctor K. Patlatzoglou (London, GB)

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Speaker: Miss D. Wickremasinghe (London, GB)

Artificial intelligence-enhanced electrocardiography predicts 10-year risk of atherosclerotic cardiovascular disease

Speaker: Mr H. Zhang (London, GB)

Visually evaluated performance of two AI algorithms detecting cardiac rhythm

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Breakthroughs in artificial intelligence-powered cardiac diagnosis and risk prediction

Speakers: Mr E. Ntalianis, Professor I. Jung, Doctor K. Patlatzoglou, Miss D. Wickremasinghe, Mr H. Zhang

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ESC Congress 2024

30 August - 2 September 2024

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