Back

Artificial intelligence-based prediction of mortality, bleeding, and ischaemic events in cancer patients with acute coronary syndrome: A modelling study in the UK and Switzerland

30 August 2024 (08:00 - 17:30)
Organised by: Logo
Congress Presentation Part of: Registries, observational, and other studies on artificial intelligence Epidemiology, Prognosis, Outcome ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

Photo
Doctor Florian A Wenzl

University of Zurich, Zurich (Switzerland)

5 More presentations in this session

Presentation thumbnail
Artificial intelligence for analysis of ambulatory electrocardiography
Doctor L. Johnson (Malmo, SE)
Slides Video
Presentation thumbnail
Heart Failure detection using Artificial Intelligence for diagnostic decision support applied to echocardiography - HFDetect-AI
Professor G. Strange (Sydney, AU)
Slides Video
Presentation thumbnail
MitrAI score: machine learning models to predict mortality at 12, 24, 36 and 48 months in patients with primary and secondary mitral regurgitation treated by transcatheter edge-to-edge repair.
Doctor L. Biasco (Cirie, IT)
Slides Video
Presentation thumbnail
Machine-learning based scoring system to predict cardiogenic shock in acute coronary syndrome
Associate Professor A. Bohm (Bratislava, SK)
Slides Video
Presentation thumbnail
Machine learning algorithm using point-of-care high-sensitivity cardiac troponin I for rapid rule-out of myocardial infarction
Doctor B. Toprak (Hamburg, DE)
Slides Video

Access the full session

Session thumbnail
Registries, observational, and other studies on artificial intelligence
Video

The Event

Event poster

ESC Congress 2024

30 August - 2 September 2024

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources