陆军军医大学学报2026，Vol.48Issue(5)：523-529,7.DOI:10.16016/j.2097-0927.202512031
智能神经外科:技术融合、临床革新与未来挑战
Intelligent neurosurgery:technological convergence,clinical transformation,and future challenges
摘要
Abstract
The development of neurosurgery has now entered a new stage of Intelligent Neurosurgery,driven by artificial intelligence(AI)as its core force.Intelligent Neurosurgery,grounded in modern neurosurgery,integrates cutting-edge technologies such as AI,machine learning,surgical robotics,brain-computer interfaces(BCIs),big data,digital twins,and neuromodulation.Through a human-machine collaborative model,it constructs an intelligent diagnosis and treatment system covering the entire process of"precise preoperative evaluation—intraoperative real-time navigation and assistance—meticulous postoperative management."Its core technological pillars include deep learning-driven automated image segmentation and molecular subtype prediction,surgical robots achieving submillimeter precision,BCIs establishing direct communication pathways between the brain and external devices,multimodal data fusion integrating clinical,genomic,and imaging information to build predictive models for optimized decision-making,and digital twin and neuromodulation technologies enabling personalized treatment simulation and reversible neural regulation.Clinical applications now extensively cover maximal safe resection of brain tumors,personalized parameter optimization for functional disorders such as Parkinson's disease and epilepsy,and minimally invasive interventional treatments for cerebrovascular diseases.Furthermore,Intelligent Neurosurgery demonstrates significant value in military medicine for the rapid,intelligent management of traumatic brain injury.However,challenges including data privacy,algorithmic accountability,ethical norms,and uneven technology dissemination remain critical obstacles to its development.The essence of Intelligent Neurosurgery lies in empowering traditional disciplines with cutting-edge technologies to form an intelligent control system,ultimately achieving"patient-centered"precision medicine.Future directions will focus on the evolution of core technologies from assistance towards semi-autonomy,the construction of smart operating rooms and remote collaboration,and the expansion from disease treatment to neural function enhancement.The establishment and promotion of this system will reshape the paradigm of neurosurgical diagnosis and treatment by balancing technological innovation with ethical norms,ultimately delivering preciser,safer,and more efficient medical services to patients worldwide.关键词
神经外科学/人工智能/机器人/脑机接口/大数据Key words
neurosurgery/artificial intelligence/robotics/brain-computer interfaces/big data分类
医药卫生引用本文复制引用
吕胜青,肖晶晶..智能神经外科:技术融合、临床革新与未来挑战[J].陆军军医大学学报,2026,48(5):523-529,7.基金项目
陆军军医大学红医人才库(医疗名师2025)和重庆市卫生健康委员会适宜技术推广项目资助(2026cgjstg003) The program by the Red Medical Talent Pool(2025 Renowned Medical Mentors)of Army Medical University and the Appropriate Technology Promotion Project of Chongqing Municipal Health Commission(2026cgjstg003). （医疗名师2025）
