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Clinical characteristics and machine learning-based prediction of acquired Long QT Syndrome among hospitalized patients

29 August 2025 (07:00 - 18:00)
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Congress Presentation Part of: Risk prediction for ventricular arrhythmias: new tools for improved precision Ion Channel Disorders ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Doctor Jiangying Luo

Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing (China)

5 More presentations in this session

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Increased health care utilization prior to sudden cardiac death in the general population
Doctor T. Skjelbred (Copenhagen, DK)
Abstract Slides Video
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Right ventricular dysfunction: an overlooked predictor of sudden cardiac death and arrhythmic events: a meta-analysis
Doctor T. Chiba (Berlin, DE)
Abstract Slides Video
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Electrocardiogram-based QRS analysis predicts ventricular arrhythmias in patients after cardiac electronic device implantation: a prospective study
Doctor B. Fu (Beijing, CN)
Abstract Slides Video
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Comprehensive analysis of desmosomal proteins remodeling identifies DSC2 as a potential biomarker for arrhythmogenic cardiomyopathy
Doctor J. Ren (Beijing, CN)
Abstract Slides Video
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Long-term relative survival in patients with premature ventricular complexes but structurally normal hearts
Mr R. Bouleau (Stockholm, SE)
Abstract Slides Video

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Risk prediction for ventricular arrhythmias: new tools for improved precision
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The Event

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ESC Congress 2025

29 August - 1 September 2025
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novartis Explore sponsored resources