Аннотация
Advanced robotic platforms are reshaping neurosurgical practice through the integration of real-time, high-definition imaging. The synergy between intraoperative MRI, 3D tractography, and robotic guidance allows unparalleled precision in procedures such as tumor resection and deep brain stimulation. Augmented reality and artificial intelligence (AI)-assisted visualization now provide surgeons with adaptive, intraoperative feedback, optimizing resection margins while minimizing neural injury. In countries such as the United States, Germany, and Japan, these hybrid systems have demonstrated superior targeting accuracy and reduced operative time, marking a transition toward data-driven, patient-specific neurosurgery. Intraoperative verification of electrode placement and cortical mapping further enhances safety and efficacy. However, disparities in adoption persist globally due to cost, infrastructure, and training limitations. As robotic neurosurgery continues to evolve, transparent AI integration and equitable implementation will be vital. This letter highlights the clinical, technological, and global implications of advanced imaging integration in robotic neurosurgery and aligns with current international standards for transparency and innovation in surgical research.