Development and Application of Artificial Intelligence in Cardiac Imaging

Overview

Journal Br J Radiol

Publisher Oxford University Press

Specialty Radiology

Date 2020 Feb 5

PMID 32017605

Citations 26

Authors

Beibei Jiang

Ning Guo

Yinghui Ge

Lu Zhang

Matthijs Oudkerk

Xueqian Xie

Affiliations

Soon will be listed here.

Abstract

In this review, we describe the technical aspects of artificial intelligence (AI) in cardiac imaging, starting with radiomics, basic algorithms of deep learning and application tasks of algorithms, until recently the availability of the public database. Subsequently, we conducted a systematic literature search for recently published clinically relevant studies on AI in cardiac imaging. As a result, 24 and 14 studies using CT and MRI, respectively, were included and summarized. From these studies, it can be concluded that AI is widely applied in cardiac applications in the clinic, including coronary calcium scoring, coronary CT angiography, fractional flow reserve CT, plaque analysis, left ventricular myocardium analysis, diagnosis of myocardial infarction, prognosis of coronary artery disease, assessment of cardiac function, and diagnosis and prognosis of cardiomyopathy. These advancements show that AI has a promising prospect in cardiac imaging.

Citing Articles

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