Back

Accuracy of artificial intelligence-enabled handheld ultrasound devices to assess left ventricular ejection fraction: A systematic review and meta-analysis

31 August 2026 (14:15 - 15:00)
Organised by: Logo
Congress Presentation Part of: Myocardial disease and amyloid phenotyping across modalities Imaging of Systolic and Diastolic Function ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

Photo
Mr Justin Winarta

(United States of America)

6 More presentations in this session

Presentation thumbnail
Multimodality imaging assessment of right ventricular longitudinal strain for prognostic stratification in cardiac amyloidosis: a systematic review and meta-analysis
Doctor J. Herrera (Cordoba, ES)
Abstract
Presentation thumbnail
A combined threshold of 3D global longitudinal strain and extracellular volume identifies the highest-risk phenotype in light-chain cardiac amyloidosis
Miss F. Meng (Shanghai, CN)
Abstract
Presentation thumbnail
Prognostic value of CMR versus FDG-PET in cardiac sarcoidosis: insights from the MYSTICS registry
Doctor A. Sakai (Tokyo, JP)
Abstract
Presentation thumbnail
Incremental prognostic value of left ventricular global function index, a novel marker of adaptive cardiac remodelling, in hypertrophic cardiomyopathy in a large contemporary cohort
Doctor M. Desai (Cleveland, US)
Abstract
Presentation thumbnail
Beyond resting ejection fraction: prognostic value of inotropic reserve in cardio-oncology
Doctor H. Michalopoulou (Athens, GR)
Abstract

Access the full session

Session thumbnail
Myocardial disease and amyloid phenotyping across modalities

The Event

Event poster

ESC Congress 2026

31 August 2026 14:15 CET
You may be interested in
thumbnail
Congress Presentation
Use of artificial intelligence by novice users to enable accurate point-of-care echocardiographic assessment of left ventricular ejection fraction
26 August 2022
thumbnail
Congress Presentation
Prognostic value of LVEF in patients undergoing TAVI: a meta-analysis of 75,085 patients
13 December 2025
thumbnail
Congress Presentation
Assessing handheld echocardiography: can it reliably detect HVD and LVSD compared to comprehensive echo?
11 December 2024
thumbnail
Congress Presentation
Machine learning-based heart sound and electrocardiogram analysis for detecting left ventricular dysfunction: a systematic review and diagnostic meta-analysis
30 August 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