Digital neurosurgery integrates technologies such as 3D imaging, robotics, artificial intelligence, and digital twins for preoperative planning, intraoperative navigation, and postoperative management. PriSMA-ScR and JBI scoping was performed by searching PubMed, Web of Science, and CNKI up to September 2025 without restrictions, with independent reviewers analyzing records in Rayyan and mapping 133 sources. Key technologies include 3D reconstruction for anatomical modeling, 3D printing for patient-specific models and guides, digital twins for real-time simulation, intraoperative navigation with AI for tracking accuracy, robotic-assisted surgery for minimally invasive procedures, and AI for image registration and decision-making. These technologies improve operational accuracy, patient outcomes, training and communication, but face challenges in data integration, regulation and computational demands. The study maps applications without effect synthesis and suggests future systematic reviews. Future developments are towards multimodal data, adaptive systems and AI automation with an emphasis on standardization and collaboration.