(119) distinguished isocitrate dehydrogenase mutation status in gliomas by a fully automated approach combining radiomics and deep learning, obtaining 93.8%, 87.9%, and 78.8% accuracy in-house in the Seoul National University Hospital and The Cancer Imaging Archive datasets, respectively. The gene discussed is IDH3A; the disease is glioma.