神经内科专科医学教育面临低频高危情境训练不足、关键操作机会不均、伦理敏感沟通场景复现困难以及跨阶段评价体系薄弱等结构性瓶颈。本文基于“复旦中山惠生智育”元宇宙平台，提出面向神经内科全周期医学教育培训与管理的专科元宇宙平台构建思路。以扩展现实与人工智能为技术底座，围绕神经系统查体、脑卒中急救决策、癫痫持续状态处理、帕金森病长期管理与坏消息告知等核心教学场景，构建神经内科知识生态系统、沉浸式虚拟教学场景、专科综合教学智能体与全周期教学管理中枢四大版块。平台支持跨院区同步教学与过程留痕，旨在形成“情境训练—过程评价—个性化导学—治理闭环”的专科教育新范式。以“急性缺血性脑卒中溶栓决策元宇宙教学单元”为例，展示了该平台在场景设计、任务链组织与技术实现上的可行思路。本文为神经内科专科元宇宙教学的体系化建设提供了可复制的工程化框架与设计参考，后续将基于实际运行数据进一步开展效果验证。

Specialty education in neurology faces structural bottlenecks including insufficient training in low-frequency, high-risk clinical scenarios, unequal opportunities for performing key procedures, difficulty in replicating ethically sensitive communication situations, and a weak cross-stage evaluation system. Based on the "Huisheng Intelligent Education" metaverse platform of Zhongshan Hospital, Fudan University, this paper proposes a conceptual framework for building a neurology-specific metaverse platform targeting full-cycle medical education, training, and management. Using extended reality (XR) and artificial intelligence (AI) as the technological foundation, and focusing on core teaching scenarios such as neurological examination, emergency decision-making in stroke, status epilepticus management, long-term care of Parkinson's disease, and breaking bad news, the platform constructs four major modules: a neurology knowledge ecosystem, immersive virtual teaching scenarios, a specialized teaching intelligence system, and a full-cycle teaching management hub. The platform supports cross-campus synchronous teaching and process tracking, aiming to establish a new paradigm of specialty education characterized by "scenario-based training — formative evaluation — personalized guidance — governance closed loop". Taking the "acute ischemic stroke thrombolysis decision-making metaverse teaching unit" as an example, this paper demonstrates the feasible approach of the platform in scenario design, task chain organization, and technical implementation. This paper provides a replicable engineering framework and design reference for the systematic construction of metaverse teaching in neurology, with future effectiveness validation to be conducted based on actual operational data.