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. 2026 Jan 14;16(2):261. doi: 10.3390/diagnostics16020261
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