Deep learning MRI models for the differential diagnosis of tumefactive demyelination versus IDH-wildtype glioblastoma

CONCLUSIONS: MRI images can provide the basis for applying deep learning models to aid in the differential diagnosis of brain lesions. Further validation is needed to evaluate how well the model generalizes across institutions, patient populations, and technology, and to evaluate optimal thresholds for classification. Next steps also should incorporate additional tumor etiologies such as CNS lymphoma and brain …