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

Jiahui Liao; Lanfang Huang; Meizi Qu; Binghui Chen; Guojie Wang

doi:10.3389/fcvm.2022.896366

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

Front Cardiovasc Med. 2022 Jun 17:9:896366. doi: 10.3389/fcvm.2022.896366. eCollection 2022.

Authors

Jiahui Liao^{1

2}, Lanfang Huang¹, Meizi Qu¹, Binghui Chen¹, Guojie Wang¹

Affiliations

¹ Department of Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
² School of Biomedical Engineering, Guangzhou Xinhua University, Guangzhou, China.

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.

Keywords: artificial intelligence; coronary CT angiography; coronary heart disease; deep learning; machine learning.

Publication types

Review