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Sex related cardiovascular risk is non-dichotomous: artificial intelligence enhanced electrocardiography reveals continuum of risk in females

30 August 2024 (08:00 - 17:30)
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Congress Presentation Part of: Deep learning and artificial intelligence to transform cardiovascular health Artificial Intelligence ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Arunashis Sau

Imperial College London, London (United Kingdom of Great Britain & Northern Ireland)

8 More presentations in this session

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Identifying heart failure dynamics using multi-point electrocardiograms and deep learning
Doctor Y. Nishihara (Kobe, JP)
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ValveVision AI - a multimodal language model for qualitative reporting of the aortic valve in echocardiography
Doctor A. Gupta (Los Angeles, US)
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The added value of deep learning to submaximal exercise electrocardiogram for the 10-year prediction of major adverse cardiovascular and cerebrovascular events
Mr A. Sturge (Oxford, GB)
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Siamese neural networks can identify subjects from anonymised ECGs
Mr K. Macierzanka (London, GB)
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Predicting the severity of valvular heart diseases using ai integrated with ECG and anthropometric data
Doctor M. Nakayama (Tokyo, JP)
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Access the full session

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Deep learning and artificial intelligence to transform cardiovascular health

The Event

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ESC Congress 2024

30 August - 2 September 2024
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