[Use of Intraoperative Images and Surgical Videos in Neurosurgery:Challenges and Future Prospects].

Abstract

In recent years, advancements in intraoperative imaging technology, surgical visualization systems, Artificial Intelligence (AI), and robotic-assisted technologies have significantly improved the precision, safety, and postoperative outcomes of neurosurgical procedures. Surgical simulation contributes to optimizing preoperative planning and enhancing the skills of young surgeons, while navigation technologies, utilizing optical or magnetic systems, enhance the accuracy of tumor resection. Intraoperative MRI and CT provide real-time assessment of residual tumors and vascular structures, and the integration of AI allows high-resolution imaging even with low-field MRI systems. Neuroendoscopes and exoscopes equipped with 4K resolution or 3D technology have improved visual precision, while AI aids in tumor boundary identification and postoperative outcome prediction. The integration of robotic technology further enhances surgical accuracy. However, challenges remain, including high implementation costs, inadequate reimbursement systems, insufficient evidence, and a lack of standardized operational guidelines. Integrating and standardizing these technologies will enhance surgical safety, precision, and efficiency, improve patient outcomes, and optimize healthcare workflows, necessitating policy reforms and robust evidence-based frameworks.