ACM	arrhythmogenic cardiomyopathy
ACR	acute cellular rejection
ACS	acute coronary syndrome
AF	atrial fibrillation
AI	artificial intelligence
AI-QCT	artificial intelligence-enabled quantitative coronary computed tomography
AMI	acute myocardial infarction
ARVD	arrhythmogenic heart disease
ATTR-CM	transthyretin amyloid cardiomyopathy
CCTA	coronary computed tomography angiography
CMR	cardiovascular magnetic resonance
CNN	convolutional neural network
DL	deep learning
DCM	dilated cardiomyopathy
DECT	dual-energy computed tomography
ECG	electrocardiogram
FFR	fractional flow reserve
HCA	hierarchical
KMCk	means clustering
IABP	intra-aortic balloon pump
ICA	invasive coronary angiography
IE	infective endocarditis
LA	left atrium
LAAT	left atrial appendage thrombus
LCA	latent class analysis
LV	left ventricle
LVH	left ventricular hypertrophy
MACE	major adverse cardiovascular events
MAPSE	mitral annular plane systolic excursion
MI	myocardial infarction
ML	machine learning
MLP	multiple layer perceptron
MRI	magnetic resonance imagining
PAP	pulmonary artery pressure
PCAT	per coronary adipose tissue
PPG	photoplethysmography
QCA	quantitative coronary angiography
RA	right atrium
RV	right ventricle
STEMI	ST-elevation myocardial infarction
TAVR	transcatheter aortic valve replacement
TTE	transthoracic echocardiography
TOE	transesophageal echocardiography
TCN	temporal convolutional network
XCB	machine learning model based on the xgboost