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Extensible artificial intelligence model predicts post-ablation AF recurrence using coronary sinus electrogram

Topic: Rhythm Control, Catheter Ablation

Congress Presentation

About the speaker

Mr Kaibin Lin

Zhongshan Hospital Fudan University, Shanghai (China)
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5 more presentations in this session

Prediction of atrial fibrillation by 12-lead electrocardiogram parameters in patients without structural heart disease

Speaker: Doctor N. Hirota (Tokyo, JP)

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Improving prediction of atrial fibrillation: the impact of polygenic risk scores over conventional risk factors amongst 270,000 individuals in UK Biobank

Speaker: Mr A. Von Ende (Oxford, GB)

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High bodyweight variability and increased risk of atrial fibrillation in patients with type 2 diabetes mellitus

Speaker: Doctor H. Lee (Seoul, KR)

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Community pharmacy led atrial fibrillation detection and referral service - the Capture AF study

Speaker: Ms Z. Khanbhai (London, GB)

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Screening for atrial fibrillation in subjects aged 65 using a long-term continuous ECG telemonitoring vest: the NOninvasive Monitoring for early detection of atrial fibrillation (NOMED-AF) study

Speaker: Professor B. Sredniawa (Katowice, PL)

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Access the full session

Predicting and Detecting Atrial Fibrillation

Speakers: Mr K. Lin, Doctor N. Hirota, Mr A. Von Ende, Doctor H. Lee, Ms Z. Khanbhai...
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About the event

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ESC Congress 2020

29 August - 1 September 2020

Sessions Presentations