Back

AI on large data permitted a robust prediction model of SCD, and explains the predicted risk at the individual level

27 August 2023 (16:56 - 17:09)
Organised by: Logo
Congress Presentation Part of: Registries on atrial fibrillation and sudden death Risk Factors and Risk Assessment ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

Photo
Professor Xavier Jouven

Paris Cite University, Paris (France)

4 More presentations in this session

Presentation thumbnail
Long-term Outcomes Following Left Atrial Appendage Occlusion with a Watchman Device: Outcomes from the National Cardiovascular Data Registry
Professor J. Freeman (New Haven, US)
Slides Video
Presentation thumbnail
VISION Cardiac Surgery Post-operative AF
Doctor W. McIntyre (Hamilton, CA)
Slides Video
Presentation thumbnail
Characteristics and predictors of repeat ablation in patients with atrial fibrillation undergoing multiple ablation procedures in real-world clinical practice
Professor S. Saksena (Warren, US)
Slides Video
Presentation thumbnail
GLORIA-AF Multimorbidity Phenotypes in AF
Doctor G. Romiti (Rome, IT)
Slides Video

Access the full session

Session thumbnail
Registries on atrial fibrillation and sudden death
Video

The Event

Event poster

ESC Congress 2023

27 August 2023 16:56 CET
You may be interested in
thumbnail
Congress Presentation
AI in risk assessment for sudden cardiac death and ventricular arrhythmia
thumbnail
Congress Presentation
Personalized prediction model specific for sudden cardiac death in the population: a machine learning study based on EHR
thumbnail
Congress Presentation
Artificial intelligence-based ascertainment of sudden cardiac death in electronic health records: development, validation and utility across national datasets

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources