Back

Multicenter study on the diagnostic accuracy of left ventricular hypertrophy using a fully automated echocardiographic analysis system with artificial intelligence

29 August 2025 (07:00 - 18:00)
Organised by: Logo
Congress Presentation Part of: Artificial Intelligence in echocardiography Morphology, Dimensions, Volumes and Mass ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Miss Yuka Nomura

Tokushima University Hospital, Tokushima (Japan)

6 More presentations in this session

Presentation thumbnail
Detection of vegetations in transesophageal echocardiographic images of patients with infective endocarditis using artificial intelligence
Mr D. Pinilla (Valladolid, ES)
Abstract Slides Video
Presentation thumbnail
Artificial intelligence-based model can distinguish patients from healthy volunteers based on natural shear wave properties
Doctor K. Bamps (Leuven, BE)
Abstract Slides Video
Presentation thumbnail
Machine learning-based identification of clinical phenotypes and prognostic stratification in ANOCA patients
Professor M. Li (Jinan, CN)
Abstract Slides Video
Presentation thumbnail
Pre-procedural assessment of left atrial appendage occlusion using an AI-driven imaging software
Doctor M. Gatto (Rome, IT)
Abstract Slides Video
Presentation thumbnail
Real-time guidance and automated measurements to improve echocardiographic assessment of left ventricular size and function
Mr S. Sabo (Trondheim, NO)
Abstract Slides Video

Access the full session

Session thumbnail
Artificial Intelligence in echocardiography

The Event

Event poster

ESC Congress 2025

29 August - 1 September 2025
You may be interested in
thumbnail
Congress Presentation
Deep learning for fully automated echocardiographic measurements of left ventricular wall thickness and chamber dimensions in the parasternal long-axis view
thumbnail
Congress Presentation
Diagnosis of hypertrophic cardiomyopathy by artificial intelligence using standard transthoracic echocardiography
thumbnail
Congress Presentation
Diagnostic and prognostic value of ECG-predicted hypertension mediated left ventricular hypertrophy using machine learning

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources