Table 1.

Clinical application of AI in neuro-oncology

I—Gliomas

I—Differentiation of neoplastic from non-neoplastic lesions

High-grade gliomas versus tumefactive demyelinating diseases

Gliomas versus inflammation

II—Grading of gliomas

Low versus high grade

Grade II versus grade III

III—Radiogenomics

Glioma

Oligodendroglioma

IV—Pre-treatment evaluation

Tumor segmentation

Infiltration and extent

V—Prognostic value-survival

VI—Post-treatment evaluation

Pseudo-progression

Residual/recurrence versus post-treatment changes

II—Non glioma

Metastasis

PCNSL

Hemangioblastoma

III—Extra-axial brain tumors

Meningioma

Schwannoma

Pituitary adenoma

IV—Pediatric brain tumors

Characterization

Radiogenomics

PCNSL primary central nervous system lymphoma