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

Overview

Journal Front Cardiovasc Med

Specialty Cardiology & Vascular Diseases

Date 2022 Jul 5

PMID 35783834

Authors

Jiahui Liao

Lanfang Huang

Meizi Qu

Binghui Chen

Guojie Wang

Affiliations

Soon will be listed here.

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.

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