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Prediction of cardiac arrest in prehospital patients using machine learning

31 August 2026 (11:05 - 11:15)
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Congress Presentation Part of: New insights into cardiac arrest: from prediction to recovery Management of Out-of-Hospital Cardiac Arrest ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Mr Jakob Oeystein Simonsen

Gentofte University Hospital, Copenhagen (Denmark)

5 More presentations in this session

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18-year trends in outcome and resuscitation process of out-of-hospital cardiac arrest by time of day
Doctor T. Suzuki (Tokyo, JP)
Abstract
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Inequalities in early resuscitation after out-of-hospital cardiac arrest: sex, socioeconomic status and location
Ms C. Campbell (Leiden, NL)
Abstract
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Global awareness of sudden cardiac arrest: insights from worldwide cross-sectional survey
Professor A. Bonny (Kigali, RW)
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New inflammatory biomarker as a predictor of poor neurological outcome early after out-of-hospital cardiac arrest
Doctor E. Bechtold Javier (Barcelona, ES)
Abstract
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The role of neuron-specific enolase as a predictor of neurological recovery and functional status in a selected cardiac intensive care unit population
Doctor R. Barbosa Sousa (Lisbon, PT)
Abstract

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New insights into cardiac arrest: from prediction to recovery

The Event

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ESC Congress 2026

31 August 2026 11:05 CET
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