Automatic assessment of collateral physiology in chronic total occlusions by means of artificial intelligence.

Lili LiuFenghua DingYing ShenShengxian TuJunqing YangQiuyang ZhaoMiao ChuWeifeng ShenRuiyan ZhangMarco ZimarinoGerald S WernerJuan Luis Gutiérrez-Chico

Published in: Cardiology journal (2022)

Automatic assessment of collateral physiology in CTO is feasible, based on a deep-learning model analyzing the filling of the donor vessels in angiography. The changes in collateral flow with this novel method are quantitatively proportional to the angiographic grading of the collaterals.

Keyphrases

deep learning
artificial intelligence
machine learning
big data
convolutional neural network
optical coherence tomography
computed tomography