Regarding glioma diagnosis, a systematic review and meta-analysis by Van Kempen et al. revealed a broad performance spectrum of ML algorithms in classifying molecular features of gliomas via MRI.55Sensitivity and specificity metrics for IDH status varied considerably, with values ranging from 54% to 98% and 67% to 99%, respectively. Here, IDH1 is linked to glioma.