Back

Clinical application of artificial intelligence-assisted pulmonary vascular imaging in pulmonary hypertension associated with left heart disease

1 September 2025 (12:15 - 13:00)
Organised by: Logo
Congress Presentation Part of: Application of artificial intelligence in cardiac-computed tomography Image Reconstruction ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Doctor Yanxi Zeng

Shanghai (China)

6 More presentations in this session

Presentation thumbnail
Optimization of pre-test probability models for obstructive coronary artery disease using explainable artificial intelligence.
Mr J. Hennecken (Amsterdam, NL)
Abstract Slides Video
Presentation thumbnail
A novel artificial intelligence-powered framework for predicting coronary artery calcium score from non-gated computed tomography
Doctor Y. Nozaki (Tokyo, JP)
Abstract Slides Video
Presentation thumbnail
An explainable and data-driven approach for coronary artery tortuosity quantification
Miss M. Ferrari (Pavia, IT)
Abstract Slides Video
Presentation thumbnail
AI-driven opportunistic screening for coronary artery calcification on non-gated CT: 1-year follow-up results from Nanox AI
Doctor J. Awesat (Petah Tikva, IL)
Abstract Slides Video
Presentation thumbnail
Diagnostic performance of a novel AI algorithm for determining coronary ischemia (AI-QCT ISCHEMIA) according to patient comorbidities
Doctor K. Kim (Seoul, KR)
Abstract Slides Video

Access the full session

Session thumbnail
Application of artificial intelligence in cardiac-computed tomography

The Event

Event poster

ESC Congress 2025

1 September 2025 12:15 CET
You may be interested in
thumbnail
Congress Presentation
AI-Enhanced ECG for pulmonary hypertension detection: integrating machine learning and deep learning approaches
thumbnail
Congress Presentation
The diagnostic approach to pulmonary hypertension
thumbnail
Congress Presentation
The role of AI in cardiovascular interventions

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources