The role of artificial intelligence in coronary CT angiography.
Artificial intelligence
Coronary CT angiography
Coronary artery disease
Deep learning
Journal
Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation
ISSN: 1568-5888
Titre abrégé: Neth Heart J
Pays: Netherlands
ID NLM: 101095458
Informations de publication
Date de publication:
10 Oct 2024
10 Oct 2024
Historique:
accepted:
27
08
2024
medline:
13
10
2024
pubmed:
13
10
2024
entrez:
10
10
2024
Statut:
aheadofprint
Résumé
Coronary CT angiography (CCTA) offers an efficient and reliable tool for the non-invasive assessment of suspected coronary artery disease through the analysis of coronary artery plaque and stenosis. However, the detailed manual analysis of CCTA is a burdensome task requiring highly skilled experts. Recent advances in artificial intelligence (AI) have made significant progress toward a more comprehensive automated analysis of CCTA images, offering potential improvements in terms of speed, performance and scalability. This work offers an overview of the recent developments of AI in CCTA. We cover methodological advances for coronary artery tree and whole heart analysis, and provide an overview of AI techniques that have shown to be valuable for the analysis of cardiac anatomy and pathology in CCTA. Finally, we provide a general discussion regarding current challenges and limitations, and discuss prospects for future research.
Identifiants
pubmed: 39388068
doi: 10.1007/s12471-024-01901-8
pii: 10.1007/s12471-024-01901-8
doi:
Types de publication
Journal Article
Review
Langues
eng
Subventions
Organisme : Health Holland, B. Braun Melsungen, Infraredx
ID : NCT04765956
Informations de copyright
© 2024. The Author(s).
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