IDH1 and glioma: This study aimed to evaluate the effectiveness of radiomics-based ML models, including Decision Tree (DT), Discriminant Analysis, Ensemble, K-Nearest Neighbor (KNN), Logistic Regression (LR), and Support Vector Machine (SVM), for accurately classifying gliomas using MRI and distinguishing between IDH1 genotypes.