This paper explores the latest developments in the application of artificial intelligence (AI) in neuro-oncology, with a focus on gliomas, a class of brain tumors that pose a serious threat to world health. AI has revolutionized the treatment of brain tumors by leveraging genetic, histopathological, and imaging technologies for effective diagnosis, classification, outcome prediction, and treatment planning. When it comes to accuracy and specificity, AI models beat human judgments in all areas of managing malignant brain tumors, including diagnosis, prognosis, and therapy. This paper discusses AI methods, emphasizing their contemporary applications, ranging from deep learning to conventional machine learning.