The use of Artificial Intelligence in neurosurgery has gained significant attention in recent years. This review explores the current state and future potential of AI applications in neurosurgery, focusing on areas such as neuro-oncology, epilepsy, spine, and functional surgery. AI algorithms and technologies can support neurosurgeons in preoperative planning, intraoperative guidance, and postoperative evaluation. The benefits of AI in neurosurgery include improved accuracy of preoperative planning, increased efficiency during surgery, and enhanced patient outcomes. However, integrating AI in neurosurgery also poses technical, ethical, and regulatory challenges. Developing robust and reliable AI algorithms that adhere to regulatory and ethical standards is crucial for the successful integration of AI in neurosurgery. The need for transparency and accountability in AI systems is also an important consideration, particularly in medical applications. In conclusion, the increased utilization and integration of AI in neurosurgery has the potential to significantly improve patient outcomes and the therapeutic efficacy of neurosurgical procedures. Further research and development are needed to address the challenges associated with the use of AI in medical practice and to fully realize the benefits of AI in neurosurgery.