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Prognosis, adverse events and characteristics of individuals at high risk for atrial fibrillation and heart failure: population-based linked cohort study of 3.5 million individuals

31 August 2026 (08:15 - 09:00)
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Congress Presentation Part of: Scalable artificial intelligence in cardiology: from population health to clinical decision support Big Data analysis ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Christopher James Hayward

University of Leeds, Leeds (United Kingdom of Great Britain & Northern Ireland)

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Cloud-free intelligent ECG patch for the real-time classification of congestive heart failure and normal sinus rhythm
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Feasibility and safety of a perioperative clinical decision support system: results of a multicenter randomized controlled trial
Doctor L. Milz (Hamburg, DE)
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GDPR-data aligned end-to-end software for clinical artificial intelligence ECG prediction for atrial fibrillation
Ms T. Roots (GB)
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Dual-modal AI wearable system for geriatric AF-HF-SAS comorbidity management: a national database-backed translational study
Doctor J. Wang (Beijing, CN)
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Increasing access to thrombolytic treatment for ST-elevation myocardial infarction using the Location-Allocation Model in a low-income state in Brazil
Mr M. Campos (Sao Luis, BR)
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Scalable artificial intelligence in cardiology: from population health to clinical decision support

The Event

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ESC Congress 2026

31 August 2026 08:15 CET
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