Back

FFR vs iFR for clinical outcomes: insights from machine-learning risk stratification

30 August 2026 (14:15 - 15:00)
Organised by: Logo
Congress Presentation Part of: Artificial intelligence-enhanced cardiac computed tomography Computed Tomography Derived Fractional Flow Reserve (FFR-CT) ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

Photo
Mr Diogo Ferreira

Santa Maria Hospital - CHULN, Lisbon (Portugal)

7 More presentations in this session

Presentation thumbnail
Qualitative and quantitative assessment of deep learning-based raw data motion correction in atrial fibrillation: benefit in high heart rate and motion-prone segments
Doctor H. Kawai (Toyoake, JP)
Abstract
Presentation thumbnail
Machine learning CT-FFR for physiologic decision-making in diffuse coronary artery disease
Doctor Z. An (Beijing, CN)
Abstract
Presentation thumbnail
Predictive value of serial coronary CTA-derived fractional flow reserve in patients with coronary artery disease
Doctor M. Zhang (Beijing, CN)
Abstract
Presentation thumbnail
Machine learning–based coronary plaque assessment across imaging modalities: a systematic review and meta-analysis of physiologically validated studies
Mr E. Ginghina (Latina, IT)
Abstract
Presentation thumbnail
Semi-quantitative coronary computed tomography angiography plaque scores predict adverse cardiovascular outcomes: a systematic review and meta-analysis
Mr G. Mann (Sydney, AU)
Abstract

Access the full session

Session thumbnail
Artificial intelligence-enhanced cardiac computed tomography

The Event

Event poster

ESC Congress 2026

30 August 2026 14:15 CET
You may be interested in
thumbnail
Congress Presentation
Machine learning for predicting fractional flow reserve based on optical coherence tomography in intermediate coronary stenosis
30 August 2020
thumbnail
Congress Presentation
Meta-analysis of iFR-SWEDEHEART and DEFINE FLAIR
27 August 2023
thumbnail
Congress Presentation
The clinical outcome of fractional flow reserve based coronary revascularization strategy of the patients on hemodialysis
27 August 2021
thumbnail
Congress Presentation
Comparison of the 2024 ESC risk-factor clinical likelihood model and an artificial intelligence-based tool for ischemia detection in patients with suspected chronic coronary syndrome referred for PET
1 September 2025

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