Quantitative ultrasound, elastography, and machine learning for assessment of steatosis, inflammation, and fibrosis in chronic liver disease.

François DestrempesMarc GesnikBoris ChayerMarie-Hélène Roy-CardinalDamien OliviéJeanne-Marie GiardGiada SebastianiBich N NguyenGuy CloutierAn Tang

Published in: PloS one (2022)

Random forest models incorporating QUS and shear wave elastography increased the classification accuracy of liver steatosis, inflammation, and fibrosis when compared to shear wave elastography alone.

Keyphrases

machine learning
oxidative stress
insulin resistance
high fat diet
liver fibrosis
deep learning
magnetic resonance imaging
climate change
high fat diet induced
artificial intelligence
big data
high resolution
adipose tissue
metabolic syndrome
type diabetes
skeletal muscle
ultrasound guided