Deep learning methods have been applied in multiple aspects of gliomas, using MRI metrics to predict long-term outcome, treatment response like pseudopregression, and tumor genetics including 1p19q codeletion, O-6-methylguanine DNA-methyltransferase promoter, and IDH mutations (28). The gene discussed is IDH1; the disease is glioma.