A review article discusses the role of artificial intelligence (AI) in diagnosing and treating brain tumors, highlighting challenges in management and the need for precise care. Diffuse midline glioma and glioblastoma are among the toughest tumors to treat with current methods. AI offers advantages in tumor analysis, providing detailed imaging, optimized workflows, and accurate tumor segmentation. AI platforms like 3D U-Net and V-Net aid in preprocessing tumor images for precise analysis. Integrated approaches using multiple data sources are being explored to tailor treatment to individual patients. The adoption of AI should address healthcare inequities and ensure patient safety.
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the rise of AI in neuro-oncology
