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. 2026 Oct 21;16(20):3429. doi: 10.3390/diagnostics16203429
ACC American College of Cardiology
ACS Acute coronary syndrome
AI Artificial intelligence
AI-CCTA Artificial intelligence-enabled coronary computed tomography angiography
AI-ECG Artificial intelligence-enabled electrocardiography
AI-QCA Artificial intelligence-based quantitative coronary angiography
AMI Acute myocardial infarction
AUC/AUROC Area under the receiver operating characteristic curve
BNP B-type natriuretic peptide
CAD Coronary artery disease
CCS Chronic coronary syndrome
CCTA Coronary computed tomography angiography
CFD Computational fluid dynamics
CK-MB Creatine kinase-myocardial band
CMR Cardiac magnetic resonance
CNN Convolutional neural network
CT Computed tomography
CT-FFR Computed tomography-derived fractional flow reserve
DICOM Digital Imaging and Communications in Medicine
DL Deep learning
ECG Electrocardiogram
ED Emergency department
EHR Electronic health record
EMS Emergency medical services
ESC European Society of Cardiology
FFR Fractional flow reserve
GRACE Global Registry of Acute Coronary Events
hs-cTn High-sensitivity cardiac troponin
ICA Invasive coronary angiography
IHD Ischemic heart disease
IVUS Intravascular ultrasound
LDL-C Low-density lipoprotein cholesterol
MI Myocardial infarction
ML Machine learning
NPV Negative predictive value
NSTE-ACS Non-ST-elevation acute coronary syndrome
NSTEMI Non-ST-elevation myocardial infarction
OCT Optical coherence tomography
OMI Occlusion myocardial infarction
PACS Picture archiving and communication system
PCAT Pericoronary adipose tissue
PCI Percutaneous coronary intervention
POC Point of care
PPV Positive predictive value
QCA Quantitative coronary angiography
QFR Quantitative flow ratio
SHAP Shapley additive explanations
SPECT Single-photon emission computed tomography
STEMI ST-segment elevation myocardial infarction
TCFA Thin-cap fibroatheroma
TIMI Thrombolysis in Myocardial Infarction