Machine learning-lased prediction of atrial fibrillation in patients with atrial high-rate episodes

29 August 2025 (07:00 - 18:00)

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About the speaker

Doctor Amir Askarinejad

Institute of Life Course and Medical Sciences, Liverpool (United Kingdom of Great Britain & Northern Ireland)

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Ultra-high-frequency ECG outperforms strauss criteria for diagnosing true left bundle branch block in candidates of cardiac resynchronization therapy

Doctor K. Curila (Prague, CZ)

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A multistate model of clinical trajectories of heart failure patients with implantable electronic devices followed with remote monitoring: what outcome implications of alerts and their timing

Doctor D. Mei (Modena, IT)

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Incorporating machine learning into ICD remote monitoring: risk assessment for sustained ventricular arrhythmia after an isolated non-sustained ventricular tachycardia alert.

Doctor R. Campbell (London, GB)

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The rise of the machines: digital technology for device therapy

The Event

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ESC Congress 2025

29 August - 1 September 2025

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ESC 365 is supported by

novartis

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ESC 365 is supported by

novartis

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