| Acc | Accuracy |
| AFP | Atypical facial pain |
| AI | Artificial intelligence |
| AR | Augmented reality |
| AdaBoost | Adaptive boosting |
| ANNs | Artificial neural networks |
| AUC | Area under the curve |
| AFC | Automated face coding |
| CBCT | Cone–beam computed tomography |
| CNNs | Convolutional neural networks |
| CDE | Computer-based diagnostic engine |
| CISS | Constructive Interference in Steady State |
| CTN | Conventional trigeminal neuralgia |
| DL | Deep learning |
| DTI | Diffusion tensor imaging |
| DC/TMD | Diagnostic Criteria for Temporomandibular Disorders |
| DT | Decision tree |
| DNN | Deep neural network |
| EDA | Electrodermal activity |
| EMG | Electromyography |
| EEG | Electroencephalography |
| EHRs | Electronic health records |
| ECG | Electrocardiography |
| FIESTA | Fast imaging employing steady-state acquisition |
| fMRI | Functional magnetic resonance imaging |
| fNIRS | Functional near-infrared spectroscopy |
| GB | Gradient boosting |
| GPN | Glossopharyngeal neuralgia |
| F1 | F1 score |
| HFV | High frequency value |
| HRV | Heart rate variability |
| ICOP | International Classification of Orofacial Pain |
| ICHD-3 | International Classification of Head Disorders |
| KNN | K-nearest neighbors |
| LDF | Laser Doppler flowmetry |
| LSTM | Long short-term memory |
| LR | Logistic regression |
| ML | Machine learning |
| MLP | Multilayer perceptron |
| MMD | Masticatory muscle disorders |
| MARS | Multivariate adaptive regression splines |
| MRN | Magnetic resonance neurography |
| MRI | Magnetic resonance images |
| MRA | Magnetic resonance angiography |
| NB | Naive Bayes |
| NIN | Nervus Intermedius Neuralgia |
| NRS | Numerical rating scale |
| NLP | Natural language processing |
| NN | Neural network |
| NSRetx | Nonsurgical root canal retreatment |
| NVOP | Neurovascular orofacial pain |
| PHN | Postherpetic neuralgia |
| PO | Pulse oximetry |
| Pre | Precision |
| PR | Precision recall |
| PPG | Photo plethysmogram |
| OFP | Orofacial pain |
| RF | Random Forest |
| ROC | Receiver operating characteristic |
| RDC/TMD | Research Diagnostic Criteria for Temporomandibular Disorders |
| RNNs | Recurrent neural networks |
| Se | Sensitivity |
| Sp | Specificity |
| SQL | Structured query language |
| SVM | Support vector machine |
| SCL-90-R | Symptom checklist-90-revised |
| SMOTE | Synthetic minority oversampling technique |
| TMJ | Temporomandibular joint |
| TNP | Trigeminal neuropathic pain |
| TMJD | Temporomandibular joint disorders |
| TN | Trigeminal neuralgia |
| TDP | Trigeminal deafferentation pain |
| VAS | Visual analog scale |
| VRS | Verbal rating scale |
| QST | Quantitative sensory testing |