Development of artificial intelligence in epicardial and pericoronary adipose tissue imaging: a systematic review.

ABSTRACT:

Background

Artificial intelligence (AI) technology has been increasingly developed and studied in cardiac imaging. This systematic review summarizes the latest progress of image segmentation, quantification, and the clinical application of AI in evaluating cardiac adipose tissue.

Methods

We exhaustively searched PubMed and the Web of Science for publications prior to 30 April 2021. The search included eligible studies that used AI for image analysis of epicardial adipose tissue (EAT) or pericoronary adipose tissue (PCAT). The risk of bias and concerns regarding applicability were assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool.

Results

Of the 140 initially identified citation records, 19 high-quality studies were eligible for this

SUBMITTER: Zhang L 

PROVIDER: S-EPMC8313612 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature