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Multimodal AI for stroke identification during medical emergency calls

30 August 2026 (09:15 - 10:00)
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Congress Presentation Part of: Next-generation cardiovascular digital monitoring: artificial intelligence, wearables, and real-world phenotyping Machine Learning ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Hege Ihle-Hansen

Oslo University Hospital Ulleval, Oslo (Norway)

6 More presentations in this session

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Estimating stroke volume using consumer-grade smartwatches: toward predictive, real-world cardiac assessment
Professor Y. Guo (Beijing, CN)
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Multidimensional sleep health among Chinese adults: a nationwide wearable-based real-world study
Professor Y. Chen (Beijing, CN)
Abstract Slides Video
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Continuous non-invasive pulmonary artery pressure assessment via seismocardiography and twin neural network
Mr E. Korsgaard (Aalborg, DK)
Abstract Slides Video
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Noninvasive tracking of right ventricular systolic pressure via multi-channel digital auscultation
Doctor N. Giordano (Aalborg, DK)
Abstract Slides Video
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Unsupervised phenogrouping identifies a graded risk of early postoperative pneumonia and sepsis after cardiac surgery
Mr J. Saito (Sapporo, JP)
Abstract Slides Video

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Next-generation cardiovascular digital monitoring: artificial intelligence, wearables, and real-world phenotyping

The Event

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ESC Congress 2026

30 August 2026 09:15 CET
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