Artificial Intelligence in Coronary CT Angiography: Current Status and Future Prospects

Coronary heart disease (CHD) is the leading cause of mortality in the world. Early detection and treatment of CHD are crucial. Currently, coronary CT angiography (CCTA) has been the prior choice for CHD screening and diagnosis, but it cannot meet the clinical needs in terms of examination quality, t...

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Bibliographic Details
Published in:Frontiers in cardiovascular medicine 2022-06, Vol.9, p.896366-896366
Main Authors: Liao, Jiahui, Huang, Lanfang, Qu, Meizi, Chen, Binghui, Wang, Guojie
Format: Article
Language:English
Subjects:
artificial intelligence
Cardiovascular Medicine
coronary CT angiography
coronary heart disease
deep learning
machine learning
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Summary:Coronary heart disease (CHD) is the leading cause of mortality in the world. Early detection and treatment of CHD are crucial. Currently, coronary CT angiography (CCTA) has been the prior choice for CHD screening and diagnosis, but it cannot meet the clinical needs in terms of examination quality, the accuracy of reporting, and the accuracy of prognosis analysis. In recent years, artificial intelligence (AI) has developed rapidly in the field of medicine; it played a key role in auxiliary diagnosis, disease mechanism analysis, and prognosis assessment, including a series of studies related to CHD. In this article, the application and research status of AI in CCTA were summarized and the prospects of this field were also described.
ISSN:2297-055X
2297-055X
DOI:10.3389/fcvm.2022.896366