| AI | Artificial Intelligence |
| ALT | Alanine Aminotransferase |
| ANN | Artificial Neural Network |
| AST | Aspartate Aminotransferase |
| AUROC (AUC) | Area Under the Receiver Operating Characteristic Curve |
| BLDA | Bayesian Linear Discriminant Analysis |
| BMI | Body Mass Index |
| CNN | Convolutional Neural Network |
| DT | Decision Tree |
| FF | Feed-Forward Neural Network |
| FIB-4 | Fibrosis-4 Index |
| GBM | Gradient Boosting Machine |
| GGT | Gamma-Glutamyl Transferase |
| GNB | Gaussian Naive Bayes |
| HDL | High-Density Lipoprotein |
| KNN | K-Nearest Neighbors |
| LASSO | Least Absolute Shrinkage and Selection Operator |
| LR | Logistic Regression |
| LSN | Liver Surface Nodularity |
| MASH | Metabolic-Dysfunction-Associated Steatohepatitis |
| MASLD | Metabolic-Dysfunction-Associated Steatotic Liver Disease |
| MINIMAR | Minimum Information for Medical AI Reporting |
| MRE | Magnetic Resonance Elastography |
| NAIF | NAFLD Artificial Intelligence Fibrosis Model |
| NB | Naive Bayes |
| NFS | NAFLD Fibrosis Score |
| NITs | Non-Invasive Tests |
| NN | Neural Network |
| PDGCN | Primal-Dual Graph Convolution Networks |
| PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
| QUADAS-2 | Quality Assessment of Diagnostic Accuracy Studies, version 2 |
| RF | Random Forest |
| SAFE | Steatosis-Associated Fibrosis Estimator |
| SR | Systematic Review |
| SVM | Support Vector Machine |
| T2DM | Type 2 Diabetes Mellitus |
| VCTE | Vibration-Controlled Transient Elastography |
| VGG16 | Visual Geometry Group 16 |
| XGBoost (XGB) | Extreme Gradient Boosting |