Back

Potential of artificial intelligence to differentiate between non-obstructive and obstructive coronary artery disease on coronary CT angiography

20 May 2024 (10:10 - 10:55)
Organised by: Logo
Congress Presentation Part of: Computed tomography (CT) artificial intelligence Coronary Computed Tomography Angiography (Coronary CTA, CCTA) Open Access International Conference on Nuclear Cardiology and Cardiac CT 2024 European Association of Cardiovascular Imaging (EACVI)

About the speaker

Photo
Doctor Kristof Nagy

Semmelweis University, Budapest (Hungary)

5 More presentations in this session

Presentation thumbnail
Incremental prognostic value of artificial intelligence-based automated plaque characterisation on top of ischemia evaluation by CCTA and CCTA/PET
Doctor S. Bar (Bern, CH)
Abstract
Presentation thumbnail
Factors affecting the performance of a novel artificial intelligence-based coronary computed tomography-derived ischemia algorithm against PET perfusion imaging
Doctor P. Kiatkittikul (Turku, FI)
Abstract
Presentation thumbnail
Radiomic analysis of computed tomography myocardial texture: a new tool to identify sublclinical cardiac amyloidosis
Doctor D. Junod (Milano, IT)
Abstract
Presentation thumbnail
Applying machine learning to diagnose obstructive coronary artery disease using calcium scoring, coronary CT angiography, and clinical data
Mr J. Valk (Enschede, NL)
Abstract
Presentation thumbnail
Incremental diagnostic value of a novel artificial intelligence-based ischemia algorithm to predict myocardial ischemia from CCTA
Doctor S. Bar (Bern, CH)
Abstract

Access the full session

Session thumbnail
Computed tomography (CT) artificial intelligence

The Event

Event poster

International Conference on Nuclear Cardiology and Cardiac CT 2024

20 May 2024 10:10 CET
You may be interested in
thumbnail
Congress Presentation
Applying machine learning to diagnose obstructive coronary artery disease using calcium scoring, coronary CT angiography, and clinical data
thumbnail
Congress Presentation
Incremental diagnostic value of a novel artificial intelligence-based ischemia algorithm to predict myocardial ischemia from CCTA
thumbnail
Congress Presentation
Incremental prognostic value of artificial intelligence-based automated plaque characterisation on top of ischemia evaluation by CCTA and CCTA/PET

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