Research progress of coronary CT angiography diagnosis system based on artificial intelligence in the assessment of coronary plaque burden
Keerqin
Zhao Nengjun
Liu Wei
Abstract：Coronary artery disease is a serious threat to human health,and its histopathological basis is atherosclerotic plaque.Early detection of coronary artery lesions is essential for the diagnosis of coronary athero-sclerotic heart disease.In current guidelines,coronary CT angiography(CCTA)is a class Ⅰ recommendation for initial diagnosis of coronary atherosclerotic heart disease but has limitations.Artificial intelligence has great potential in health care to improve diagnostic efficiency and precision.There is a lack of studies on the comparison between artificial intelligence-guided CCTA and intravascular ultrasound(IVUS)in coronary plaque burden.This article introduces the application of artificial intelligence in the daily cardiology practice of CCTA.This article first summarizes the characteristics of deep learning technology and its application in interventional cardiology,and then discusses the feasibility and future development prospects of artificial intelligence-based CCTA technology compared with IVUS in the field of interventional cardiology.
Keywords：Coronary plaqueArtificial intelligenceCoronary CT angiographyIntravascular ultrasound
Publication Date：2024-05-08
Online Publishing Date：2026-09-14(First online date of this platform, not the publication date of the document)
Pages：5( 758-762 )