|
1
|
Liao J, Huang L, Qu M, Chen B, Wang G. Artificial Intelligence in Coronary CT Angiography: Current Status and Future Prospects. Front Cardiovasc Med 2022; 9:896366. [PMID: 35783834 PMCID: PMC9247240 DOI: 10.3389/fcvm.2022.896366] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/18/2022] [Indexed: 12/28/2022] Open
Abstract
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.
Collapse
Affiliation(s)
- Jiahui Liao
- Department of Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
- School of Biomedical Engineering, Guangzhou Xinhua University, Guangzhou, China
| | - Lanfang Huang
- Department of Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Meizi Qu
- Department of Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Binghui Chen
- Department of Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
- *Correspondence: Binghui Chen
| | - Guojie Wang
- Department of Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
- Guojie Wang
| |
Collapse
|