| AD | Alzheimer’s disease |
| AI | Artificial intelligence |
| ANN | Artificial neural network |
| AUC/AUROC | Area under the receiver operating characteristic curve |
| AUPR/AUPRC | Area under the precision–recall curve |
| CAD | Coronary artery disease |
| CCTA | Coronary computed tomography angiography |
| CI | Confidence interval |
| CKD | Chronic kidney disease |
| CNN | Convolutional neural network |
| COPD | Chronic obstructive pulmonary disease |
| CT | Computed tomography |
| DBN | Deep belief network |
| DL | Deep learning |
| DNN | Deep neural network |
| DSC | Dice similarity coefficient |
| ECG | Electrocardiography |
| EEG | Electroencephalography |
| EHR | Electronic health record |
| F1 | Harmonic mean of precision and recall |
| GAN | Generative adversarial network |
| GPU | Graphics processing unit |
| IoU | Intersection over union |
| LIME | Local interpretable model-agnostic explanations |
| LSTM | Long short-term memory |
| MAE | Mean absolute error |
| MCC | Matthews correlation coefficient |
| ML | Machine learning |
| MCI | Mild cognitive impairment |
| MLP | Multilayer perceptron |
| MRI | Magnetic resonance imaging |
| NPV | Negative predictive value |
| OCT | Optical coherence tomography |
| PD | Parkinson’s disease |
| PPG | Photoplethysmography |
| PPV | Positive predictive value |
| RNN | Recurrent neural network |
| ROC | Receiver operating characteristic |
| SHAP | Shapley additive explanations |
| SVM | Support vector machine |
| UQ | Uncertainty quantification |
| VAE | Variational autoencoder |
| ViT | Vision transformer |
| XAI | Explainable artificial intelligence |