Back

Machine-learning prediction of myocardial viability using speckle tracking echocardiography: a PET-validated study

29 August 2026 (14:15 - 15:00)
Organised by: Logo
Congress Presentation Part of: Echocardiographic myocardial strain imaging for function, viability and prognosis Tissue Doppler, Speckle Tracking and Strain Imaging ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

Photo
Doctor Haitham Ballo

Turku University Hospital, Turku (Finland)

7 More presentations in this session

Presentation thumbnail
Head-to-head comparison of AI-based global longitudinal strain measurement - are we ready for this next step?
Doctor R. Botan (Dresden, DE)
Abstract Slides
Presentation thumbnail
Prediction of clinical outcomes based on phenotypic grouping using dual-chamber strains in patients with HFpEF
Professor J. Park (Daejeon, KR)
Abstract Slides
Presentation thumbnail
Prognostic value of myocardial work index dispersion for ventricular arrhythmias in heart failure with reduced ejection fraction
Assistant Professor B. Uzieblo-Zyczkowska (Warsaw, PL)
Abstract Slides
Presentation thumbnail
Atrial strain analysis in heart failure with preserved ejection fraction: prognostic implications of left and right atrial dysfunction
Professor M. Matshela (Durban, ZA)
Abstract Slides Video
Presentation thumbnail
The role of segmental and global longitudinal strain in identifying culprit lesion localization in NSTEMI patients with preserved ejection fraction
Doctor S. EBEOGLU (Istanbul, TR)
Abstract Slides

Access the full session

Session thumbnail
Echocardiographic myocardial strain imaging for function, viability and prognosis

The Event

Event poster

ESC Congress 2026

29 August 2026 14:15 CET
You may be interested in
thumbnail
Congress Presentation
Evaluation of myocardial viability: a comparative study between parametric [15o] water PET/CT imaging and speckle tracking echocardiography
11 December 2025
thumbnail
Congress Presentation
A machine learning approach predicts response to physical exercise training using pulse wave analysis
3 April 2025
thumbnail
Congress Presentation
Fully automated global longitudinal strain assessment using artificial intelligence developed and validated by a UK-wide echocardiography expert collaborative
27 August 2021
thumbnail
Congress Presentation
Decoding post-resuscitation ECGs: OMI and culprit vessel prediction by experts and AI
20 March 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