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Temporal sequence modeling for multimodal cardiovascular risk discovery

28 August 2026 (08:33 - 08:51)
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Congress Presentation Part of: Predicting cardiovascular risk using multidimensional data: from healthcare records to imaging Deep Learning ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Mrs Parisa Gifani

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

3 More presentations in this session

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State-of-the-art lecture on predicting cardiovascular risk using multidimensional data: from healthcare records to imaging
Professor H. Krumholz (New Haven, US)
Slides Video
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Transformer-based ascertainment of sudden cardiac death in electronic health records: development, validation and utility across national datasets
Mr B. Petrazzini (Oxford, GB)
Abstract Slides Video
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Prognostic power of artificial intelligence based estimation of left ventricular ejection fraction in standard and point-of-care echocardiography
Doctor K. Faierstein (Ramat Gan, IL)
Abstract Slides Video

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Predicting cardiovascular risk using multidimensional data: from healthcare records to imaging
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The Event

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ESC Congress 2026

28 August 2026 08:33 CET
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