Extended Data Fig. 7: Patient demographic subgroup analysis of DeepGlioma IDH classification performance.

a, b, DeepGlioma performance for classifying IDH mutations stratified by patient age. Bar charts are showing patients classification accuracy (± standard deviation). Classification performance remains high in patients less than (n = 89) and greater than 55 years (n = 64). IDH mutations are less common in patients greater than 55 years, causing class imbalance and resulting in a greater proportional drop in classification performance with false negative predictions. (c, d,) Classification performance stratified by sex (male = 74, F = 74) and (e, f) racial groups (non-white = 35, white = 118) as defined by the National Insitute of Health (NIH). Bar charts are showing patients classification accuracy (± standard deviation). Classification performance remains high across all subgroup analyses. No information rate in the accuracy achieved by classifying all examples into the majority class. g, Subset of patients from the prospective cohort with non-canonical IDH mutations and a diffuse midline glioma, H3 K27M mutation. DeepGlioma correctly classified all non-canonical IDH mutations, including IDH-2 mutation. Moreover, DeepGlioma generalized to pediatric-type diffuse high-grade gliomas, including diffuse midline glioma, H3 K27-altered, in a zero-shot fashion as these tumors were not included in the UM training set. This patient was included in our prospective cohort because the patient was a 34-year-old adult at presentation.