Back

Importance and limits of cardiovascular risk factors on the prediction of SCD using machine learning approach.

1 September 2024 (15:00 - 15:50)
Organised by: Logo
Congress Presentation Part of: Progress and challenges in artificial intelligence for cardiovascular risk assessment and diagnosis Artificial Intelligence ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

Photo
Professor Xavier Jouven

Paris Cite University, Paris (France)

8 More presentations in this session

Presentation thumbnail
Fully automated artificial intelligence-based cine cardiac magnetic resonance image quantification
Mr P. Mohammadi Kazaj (Bern, CH)
Abstract Slides Video
Presentation thumbnail
Preventing unnecessary echocardiograms in de novo patients referred to the cardiology outpatient clinic using electrocardiogram-based deep learning
Mr B. Arends (Utrecht, NL)
Abstract Slides Video
Presentation thumbnail
Barriers and facilitators for implementation of AI algorithms for ECG analysis and triage in patients with chest pain
Mr B. Arends (Utrecht, NL)
Abstract Slides Video
Presentation thumbnail
An explainable AI for trustworthy detection of atrial fibrillation on reduced lead ECGs in mobile applications
Mr A. Hammer (Dresden, DE)
Abstract Slides Video
Presentation thumbnail
Predicting mortality of type-2 diabetes mellitus by applying machine learning to electronic medical records in the west of scotland and hong kong
Miss N. Kaur (Glasgow, GB)
Abstract Slides Video

Access the full session

Session thumbnail
Progress and challenges in artificial intelligence for cardiovascular risk assessment and diagnosis

The Event

Event poster

ESC Congress 2024

1 September 2024 15:00 CET
You may be interested in
thumbnail
Congress Presentation
AI on large data permitted a robust prediction model of SCD, and explains the predicted risk at the individual level
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
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources