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Silent conduction disturbances after TAVI: insights from 12-lead holter monitoring

28 August 2026 (12:15 - 13:00)
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Congress Presentation Part of: Artificial intelligence and digital phenotyping in arrhythmia risk prediction and cardiac resynchronisation Ambulatory Electrocardiogram (ECG) Monitoring and Loop Recorders ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Serhat Kesriklioglu

Necmettin Erbakan University Meram Faculty of Medicine, Konya (Turkiye)

6 More presentations in this session

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Explainable electrocardiogram-based deep learning predicts ventricular arrhythmias after cardiac resynchronisation therapy.
Miss C. Chiu (Utrecht, NL)
Abstract Slides Video
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Temporal risk of heart failure hospitalisation during multisensor alert state: a self-controlled case series analysis of 1.7 million ambulatory person days
Doctor L. Witten Davodian (Copenhagen, DK)
Abstract Slides Video
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Risk of heart failure hospitalisation stratified by multisensor alert severity by implantable cardiac devices
Doctor L. Witten Davodian (Copenhagen, DK)
Abstract Slides Video
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Inducibility of clinical ventricular tachycardia by pre-ablation noninvasive programmed stimulation predicts favorable outcomes after catheter ablation
Doctor A. Kashiwa (Niigata, JP)
Abstract Slides Video
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Defining the QRS threshold for LOT-CRT benefit: a conduction pattern specific analysis
Doctor B. Bakst (Browns Mills, US)
Abstract Slides Video

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Artificial intelligence and digital phenotyping in arrhythmia risk prediction and cardiac resynchronisation

The Event

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ESC Congress 2026

28 August 2026 12:15 CET
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