Back

Deep-Learning based approach to ED chest pain risk stratification by ECG

29 August 2025 (07:00 - 18:00)
Organised by: Logo
Congress Presentation Part of: Artificial intelligence in acute coronary syndromes Noninvasive Imaging ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Doctor Shyon Parsa

Stanford Health Care, Stanford (United States of America)

4 More presentations in this session

Presentation thumbnail
Leveraging machine learning for rapid rule-out of acute coronary syndrome
Mr D. Sesia (ZM) Doctor A. Kaura (London, GB)
Abstract Slides Video
Presentation thumbnail
Training and validation of an ECG-based deep-learning model for the early diagnosis of acute myocardial infarction
Doctor T. Zimmermann (Basel, CH)
Abstract Slides Video
Presentation thumbnail
External validation of the ECG-SMART model: a machine learning algorithm for ECG diagnosis of occlusion myocardial infarction
Doctor P. Lopez Ayala (Basel, CH)
Abstract Slides Video
Presentation thumbnail
Comparison of the discriminative ability of artificial neural networks and GRACE score for prediction of mortality in acute coronary syndromes.
Doctor J. Struzka (Buenos Aires, AR)
Abstract Slides Video

Access the full session

Session thumbnail
Artificial intelligence in acute coronary syndromes
Video

The Event

Event poster

ESC Congress 2025

29 August - 1 September 2025
You may be interested in
thumbnail
Congress Presentation
The added value of deep learning to submaximal exercise electrocardiogram for the 10-year prediction of major adverse cardiovascular and cerebrovascular events
thumbnail
Congress Presentation
ECG in acute coronary syndromes: what does AI see that I don’t?
thumbnail
Congress Presentation
Machine-learning based calculator for personalized risk following ST-elevation myocardial infarction

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources