Back

False-negative constrained machine learning for coronary angiography referral in vascular patients

30 August 2026 (11:15 - 12:00)
Organised by: Logo
Congress Presentation Part of: Machine learning in acute coronary syndromes Machine Learning ESC Professional Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

Photo
Doctor Jovan Petrovic

Institute for Cardiovascular Diseases Dedinje, Belgrade (Serbia)

5 More presentations in this session

Presentation thumbnail
A fully automated deep learning framework for assessing left ventricular systolic function from coronary angiography with validation in acute myocardial infarction
Doctor S. Chang (Taichung, TW)
Abstract Slides Video
Presentation thumbnail
Early prediction of low cardiac output syndrome in post-cardiotomy patients using supervised machine learning
Doctor J. Garate Togo (Mexico City, MX)
Abstract Slides Video
Presentation thumbnail
Diagnostic performance of traditional troponin-based predictive models and explainable ML-models in patients with suspected AMI
Mrs D. Gjermeni (Stanford, US)
Abstract Slides Video
Presentation thumbnail
Robust cross center coronary artery segmentation on computed tomography angiography with limited local annotations
Miss L. Alinezhad (Bologna, IT)
Abstract Slides Video
Presentation thumbnail
A proof-of-concept machine-learning model improves pre-test probability estimation for obstructive coronary artery disease: benchmarking against the ESC guidelines
Mr D. Belcak (Hradec Kralove, CZ)
Abstract Slides Video

Access the full session

Session thumbnail
Machine learning in acute coronary syndromes

The Event

Event poster

ESC Congress 2026

30 August 2026 11:15 CET
You may be interested in
thumbnail
Congress Presentation
Machine learning–based decision support for coronary angiography referral in vascular surgery patients
29 August 2026
thumbnail
Congress Presentation
Machine learning-enabled cardiometabolic phenotyping for heart failure detection in metabolic syndrome
29 August 2026
thumbnail
Congress Presentation
Machine-learning based prediction of obstructive coronary artery disease using integrated submodules of clinical information, chest x-ray, and electrocardiography
31 August 2024
thumbnail
Congress Presentation
Validation of an aAI-supported vectorcardiography for the detection of coronary artery disease: a comparative study with coronary calcium scoring and CT Angiography (AI-CCC Study)
31 August 2026

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