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. 2026 Sep 25;16(19):3121. doi: 10.3390/diagnostics16193121
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