Back

Optimization of pre-test probability models for obstructive coronary artery disease using explainable artificial intelligence.

1 September 2025 (12:15 - 13:00)
Organised by: Logo
Congress Presentation Part of: Application of artificial intelligence in cardiac-computed tomography Coronary Computed Tomography Angiography (Coronary CTA, CCTA) ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Mr Jasper Hennecken

Amsterdam (Netherlands (The))

6 More presentations in this session

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
Clinical application of artificial intelligence-assisted pulmonary vascular imaging in pulmonary hypertension associated with left heart disease
Doctor Y. Zeng (Shanghai, CN)
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
From arteries to algorithms: foundational models for coronary artery disease diagnosis and cardiovascular risk assessment
thumbnail
Congress Presentation
Impact of using the 2024 ESC Guideline-recommended method for estimating the likelihood of obstructive coronary disease - a cardiac CT study
thumbnail
Congress Presentation
Risk stratification of coronary artery disease using the artificial intelligence-enabled electrocardiogram

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources