ESC Professional Premium Access

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

Congress Presentation

About the speaker

Professor Xavier Jouven

Paris Cite University, Paris (France)
10 presentations
0 follower

8 more presentations in this session

Fully automated artificial intelligence-based cine cardiac magnetic resonance image quantification

Speaker: Mr P. Mohammadi Kazaj (Bern, CH)

Thumbnail

Preventing unnecessary echocardiograms in de novo patients referred to the cardiology outpatient clinic using electrocardiogram-based deep learning

Speaker: Mr B. Arends (Utrecht, NL)

Thumbnail

Barriers and facilitators for implementation of AI algorithms for ECG analysis and triage in patients with chest pain

Speaker: Mr B. Arends (Utrecht, NL)

Thumbnail

An explainable AI for trustworthy detection of atrial fibrillation on reduced lead ECGs in mobile applications

Speaker: Mr A. Hammer (Dresden, DE)

Thumbnail

Predicting mortality of type-2 diabetes mellitus by applying machine learning to electronic medical records in the west of scotland and hong kong

Speaker: Miss N. Kaur (Glasgow, GB)

Thumbnail

Access the full session

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

Speakers: Professor X. Jouven, Mr P. Mohammadi Kazaj, Mr B. Arends, Mr B. Arends, Mr A. Hammer...
Thumbnail

About the event

Image

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations