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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247240/ https://www.ncbi.nlm.nih.gov/pubmed/35783834 http://dx.doi.org/10.3389/fcvm.2022.896366 |
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author | Liao, Jiahui Huang, Lanfang Qu, Meizi Chen, Binghui Wang, Guojie |
author_facet | Liao, Jiahui Huang, Lanfang Qu, Meizi Chen, Binghui Wang, Guojie |
author_sort | Liao, Jiahui |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9247240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92472402022-07-02 Artificial Intelligence in Coronary CT Angiography: Current Status and Future Prospects Liao, Jiahui Huang, Lanfang Qu, Meizi Chen, Binghui Wang, Guojie Front Cardiovasc Med Cardiovascular Medicine 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. Frontiers Media S.A. 2022-06-17 /pmc/articles/PMC9247240/ /pubmed/35783834 http://dx.doi.org/10.3389/fcvm.2022.896366 Text en Copyright © 2022 Liao, Huang, Qu, Chen and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Liao, Jiahui Huang, Lanfang Qu, Meizi Chen, Binghui Wang, Guojie Artificial Intelligence in Coronary CT Angiography: Current Status and Future Prospects |
title | Artificial Intelligence in Coronary CT Angiography: Current Status and Future Prospects |
title_full | Artificial Intelligence in Coronary CT Angiography: Current Status and Future Prospects |
title_fullStr | Artificial Intelligence in Coronary CT Angiography: Current Status and Future Prospects |
title_full_unstemmed | Artificial Intelligence in Coronary CT Angiography: Current Status and Future Prospects |
title_short | Artificial Intelligence in Coronary CT Angiography: Current Status and Future Prospects |
title_sort | artificial intelligence in coronary ct angiography: current status and future prospects |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247240/ https://www.ncbi.nlm.nih.gov/pubmed/35783834 http://dx.doi.org/10.3389/fcvm.2022.896366 |
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