Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers.

Foldyna Borek Ibrahim HadzicRoman ZeleznikMarcel C LangenbachVineet K Raghu Thomas Mayrhofer Michael T Lu Hugo J W L Aerts

Published in: Communications medicine (2024)

Our findings suggest that automated assessment of epicardial adipose tissue from low-dose lung cancer screening images offers prognostic value in heavy smokers, with potential implications for cardiovascular risk stratification in this high-risk population.

Keyphrases

deep learning
adipose tissue
low dose
smoking cessation
convolutional neural network
insulin resistance
artificial intelligence
high fat diet
machine learning
high dose
human health
high throughput
risk assessment
metabolic syndrome
skeletal muscle
climate change