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FIRST-ICU: a deep learning framework for multi-intervention prediction and risk stratification in critical care with cross-continental external validation

30 August 2026 (12:15 - 13:00)
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Congress Presentation Part of: Beyond traditional signals: artificial intelligence for discovery of novel cardiovascular biomarkers Deep Learning ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Mr Nosa Aikodon

Liverpool John Moores University, Liverpool (United Kingdom of Great Britain & Northern Ireland)

7 More presentations in this session

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The AI-ECG clock as a biomarker of cardiovascular ageing: molecular, genetic and clinical validation in three cohorts
Doctor J. Barker (London, GB)
Abstract Slides Video
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Deep learning–based detection of ectopic beats from photoplethysmography recordings: external validation across invasive electrophysiology cohorts
Miss J. Ji (London, GB)
Abstract Slides
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Accelerated electrocardiographic aging of the heart as a digital marker of brain aging, cognitive decline, and dementia risk
Professor B. Joung (Seoul, KR)
Abstract Slides Video
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Multimodal deep learning reveals the modular genetic architecture of cardiovascular aging
Mr R. Choi (US)
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Detecting cardiovascular diseases from mammography using deep learning
Doctor V. Copeland (Ramat Gan, IL)
Abstract Slides

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Beyond traditional signals: artificial intelligence for discovery of novel cardiovascular biomarkers

The Event

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ESC Congress 2026

30 August 2026 12:15 CET
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