Development of artificial intelligence in epicardial and pericoronary adipose tissue imaging: a systematic review.
Lu ZhangJianqing SunBeibei JiangLingyun WangYaping ZhangXueqian XiePublished in: European journal of hybrid imaging (2021)
AI technology can provide accurate and quicker methods to segment and quantify EAT and PCAT images and shows potential value in the diagnosis and risk prediction of cardiovascular diseases. AI is expected to expand the value of cardiac adipose tissue imaging.
Keyphrases
- artificial intelligence
- adipose tissue
- deep learning
- high resolution
- machine learning
- big data
- cardiovascular disease
- insulin resistance
- high fat diet
- convolutional neural network
- left ventricular
- optical coherence tomography
- mass spectrometry
- risk assessment
- cardiovascular events
- cardiovascular risk factors
- skeletal muscle
- fluorescence imaging
- atrial fibrillation
- climate change