| 2D/3D | Two-/three-dimensional |
| AI | Artificial intelligence |
| AS | Aortic stenosis |
| AUC | Area under the ROC curve |
| CAD | Coronary artery disease |
| CE | Conformité Européenne |
| CHD | Congenital heart disease |
| CMR | Cardiac magnetic resonance |
| CNN | Convolutional neural network |
| CRT | Cardiac resynchronization therapy |
| CTRCD | Cancer therapy-related cardiac dysfunction |
| CVD | Cardiovascular disease |
| DL | Deep learning |
| GAN | Generative adversarial network |
| RCT | Randomized controlled trial |
| RV | Right ventricle/right ventricular |
| DSC | Dice similarity coefficient |
| EDV/ESV | End-diastolic/end-systolic volume |
| EHR | Electronic health record |
| EU MDR | European Union Medical Device Regulation |
| FDA | U.S. Food and Drug Administration |
| GLS | Global longitudinal strain |
| GMLP | Good Machine Learning Practice |
| HCM | Hypertrophic cardiomyopathy |
| HF | Heart failure |
| HFpEF | Heart failure with preserved ejection fraction |
| LA | Left atrium/left atrial |
| LLM | Large language model |
| LV | Left ventricle/left ventricular |
| LVEF | Left ventricular ejection fraction |
| MAE | Mean absolute error |
| ML | Machine learning |
| POCUS | Point-of-care ultrasound |
| QC | Quality control |
| RWMA | Regional wall motion abnormality |
| STE | Speckle-tracking echocardiography |
| TDI | Tissue Doppler imaging |
| TPA | Total plaque area |
| VHD | Valvular heart disease |
| ViT | Vision transformer |
| VLM | Vision–language model |