【摘要】 过去10余年里，人工智能在神经系统肿瘤的诊疗领域的应用与发展已经步入有序、迅速且系统化的轨道。目前，大数据挖掘、机器学习、计算机视觉、图像识别和手术机器人等技术已涵盖了肿瘤筛查、临床诊断、肿瘤分类、药物发现、治疗决策、手术辅助、预后评估、精准医学和神经系统肿瘤模拟教学等多个方面，但总体上这些技术仍处于初级阶段。因此，对人工智能在神经系统肿瘤诊疗中的应用进行全面、理性、客观地审视，检验相关成果的应用现状，对学科创新发展、避免研发陷阱以及突破发展瓶颈具有重要意义。更多还原

【Abstract】 In the past decade, the application and development of artificial intelligence in the diagnosis and treatment of nervous system tumors have entered an organized, rapid, and systematic trajectory. Currently, technologies such as big data mining, machine learning, computer vision, image recognition, and surgical robots have been incorporated into various aspects including tumor screening, clinical diagnosis, tumor classification, drug discovery, treatment decision-making, surgical assistance, prognosis assessment, precision medicine, and simulation-based education for nervous system tumors. However, these technologies are still in their early stages. Therefore, a comprehensive, rational, and objective examination of the application of artificial intelligence in the diagnosis and treatment of nervous system tumors is crucial. Such scrutiny aims to assess the current status of relevant achievements,holds significance for disciplinary innovation, avoidance of research and development pitfalls, and overcoming developmental bottlenecks.更多还原