| AFib | Atrial fibrillation |
| AI | Artificial intelligence |
| ALQ | Adaptive loss-aware quantization |
| API | Application program interface |
| ASIC | Application-specific integrated circuit |
| BNP | B-type natriuretic peptide |
| BSV | Biore-sorbable vascular scaffolds |
| CAD | Coronary artery disease |
| CHF | Chronic heart failure |
| CNN | Convolutional neural network |
| CT | Computed tomography |
| CV | Cardiovascular |
| CVD | Cardiovascular disease |
| DL | Deep learning |
| DCNN | Deep convolutional neural network |
| DNN | Deep neural network |
| ECG | Electrocardiogram |
| EMR | Electronic medical records |
| LSTM | Long short-term memory |
| LVEF | Left ventricular ejection fraction |
| MI | Myocardial infarction |
| ML | Machine learning |
| MPI | Myocardial perfusion imaging |
| NN | Neural network |
| P4 | Predictive, preventive, personalized, and participatory |
| PAC | Premature atria contraction |
| PPG | Photopletysmogram |
| PSVT | Paroxysmal supraventricular tachycardia |
| RMS | Root mean square |
| SoC | System on chip |
| TCN | Temporal convolutional network |
| TFLite | Tensor flow lite |
| TNN | Tenary neural network |