A review on recent advancements in artificial intelligence for the detection, monitoring, and treatment of brain cancers

• Author Details:   
• Shivam Dubey ^*

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Brain tumors, such as gliomas and glioblastomas, provide substantial diagnostic and therapeutic hurdles due to their heterogeneity, aggressive activity, and treatment resistance. Recent advancements in artificial intelligence (AI), notably machine learning (ML) and deep learning (DL), have transformed how brain tumors are diagnosed, tracked, and treated. AI applications in radiomics, histopathology, genomics, and multimodal data integration provide earlier diagnosis, improved prognosis, and more tailored treatment options. This study gives a complete overview of cutting-edge AI approaches utilized in neuro-oncology, emphasizing their integration into clinical workflows, advantages, and limits. Ethical concerns and the potential for AI-driven brain cancer treatment are also highlighted.

Keywords: Glioblastoma, Deep Learning, Radiomics, Neuro-oncology, Histopathology, Personalized Medicine, Liquid Biopsy.