Development and application of artificial intelligence in cardiac imaging

作者：Beibei Jiang, Ning Guo, Yinghui Ge, Lu Zhang, Matthijs Oudkerk, Xueqian Xie · 发表于：British Journal of Radiology · 年份：2020 · DOI：10.1259/bjr.20190812 · 被引用次数：91 · 研究领域：Advanced X-ray and CT Imaging、Cardiac Imaging and Diagnostics、Radiomics and Machine Learning in Medical Imaging

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.