Factors influencing the reliability of a CT angiography-based deep learning method for infarct volume estimation.

Lasse Hokkinen Teemu Mäkelä Sauli Savolainen Marko Kangasniemi

Published in: BJR open (2024)

CTA timing seems to be the most important factor influencing the reliability of current CTA-based machine learning methods, emphasizing the need for CTA protocol optimization for infarct core estimation.

Keyphrases

machine learning
deep learning
acute myocardial infarction
artificial intelligence
randomized controlled trial
convolutional neural network
coronary artery disease
acute coronary syndrome
percutaneous coronary intervention
atrial fibrillation