Training a residual CNN on preoperative magnetic resonance imaging of gliomas allows the prediction of IDH status.66 Several studies testing these tools achieved 79% to 94% prediction accuracy of IDH status in patients with high-grade gliomas.66-68 Machine learning models using structural brain networks and graph neural networks can be powerful tools for predicting IDH mutation status based on pretreatment MRI. This evidence concerns the gene IDH1 and central nervous system cancer.