Accuracy of deep learning in the differential diagnosis of coronary artery stenosis: a systematic review and meta-analysis.

ABSTRACT:

Background

In recent years, as deep learning has received widespread attention in the field of heart disease, some studies have explored the potential of deep learning based on coronary angiography (CAG) or coronary CT angiography (CCTA) images in detecting the extent of coronary artery stenosis. However, there is still a lack of a systematic understanding of its diagnostic accuracy, impeding the advancement of intelligent diagnosis of coronary artery stenosis. Therefore, we conducted this study to review the accuracy of image-based deep learning in detecting coronary artery stenosis.

Methods

We retrieved PubMed, Cochrane, Embase, and Web of Science until April 11, 2023. The risk of bias in the included studies was appraised using the QUADAS-2 tool. We extracted the accuracy

SUBMITTER: Tu L 

PROVIDER: S-EPMC11403958 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature