학술논문
Application of AI in cardiovascular multimodality imaging
Document Type
article
Author
Giuseppe Muscogiuri; Valentina Volpato; Riccardo Cau; Mattia Chiesa; Luca Saba; Marco Guglielmo; Alberto Senatieri; Gregorio Chierchia; Gianluca Pontone; Serena Dell’Aversana; U. Joseph Schoepf; Mason G. Andrews; Paolo Basile; Andrea Igoren Guaricci; Paolo Marra; Denisa Muraru; Luigi P. Badano; Sandro Sironi
Source
Heliyon, Vol 8, Iss 10, Pp e10872- (2022)
Subject
Language
English
ISSN
2405-8440
Abstract
Technical advances in artificial intelligence (AI) in cardiac imaging are rapidly improving the reproducibility of this approach and the possibility to reduce time necessary to generate a report.In cardiac computed tomography angiography (CCTA) the main application of AI in clinical practice is focused on detection of stenosis, characterization of coronary plaques, and detection of myocardial ischemia.In cardiac magnetic resonance (CMR) the application of AI is focused on post-processing and particularly on the segmentation of cardiac chambers during late gadolinium enhancement. In echocardiography, the application of AI is focused on segmentation of cardiac chambers and is helpful for valvular function and wall motion abnormalities.The common thread represented by all of these techniques aims to shorten the time of interpretation without loss of information compared to the standard approach.In this review we provide an overview of AI applications in multimodality cardiac imaging.