医学可视化教育数字化转型：发展现状、挑战与展望
Medical Visualization Education in Digital Transformation: Progress, Challenges, and Prospects
DOI: 10.12677/ae.2026.1681802, PDF,   
作者: 欧阳真真：解放军总医院研究生院教育技术中心，北京
关键词: 医学可视化；人工智能；视觉传达设计；Medical Visualization； Artificial Intelligence； Visual Communication Design
摘要: 在医学教育数字化转型进程中，人工智能(Artificial Intelligence, AI)生成内容、沉浸式显示设备与实体化数字制造技术的交叉融合，正推动可视化教学从静态辅助工具向核心认知中介转变。本研究系统梳理生成式AI机制绘图、虚拟现实/混合现实(Virtual Reality, VR/Mixed Reality, MR)解剖教学、三维(Three Dimensional, 3D)打印实体建模及虚拟仿真模拟四大技术路径的教学应用逻辑，分析其在降低空间认知负荷、弥补实物资源短缺及提升操作技能方面的实证效果，并针对当前存在的认知超载、AI内容可靠性及评价体系滞后等问题，提出技术优化与教学整合的改进方向。
Abstract: Within the ongoing digital transformation of medical education, the convergence of artificial intelligence (AI)-generated content, immersive display technologies, and tangible digital manufacturing is reshaping visualization-based instruction from a static auxiliary tool into a core cognitive mediator. This study systematically reviews the pedagogical application logics of four major technological pathways: generative AI-assisted mechanism diagramming, virtual reality/mixed reality (VR/MR)-based anatomical teaching, three-dimensional (3D) printing-based physical modeling, and virtual simulation-based clinical training. It analyzes their empirical effects in reducing spatial cognitive load, compensating for the scarcity of physical specimens, and enhancing procedural skills. In response to the persistent challenges of cognitive overload, AI-generated medical hallucinations, and the lag in evaluation frameworks, this paper proposes actionable directions for technological refinement and pedagogical integration.
文章引用：欧阳真真. 医学可视化教育数字化转型：发展现状、挑战与展望[J]. 教育进展, 2026, 16(8): 1665-1673. https://doi.org/10.12677/ae.2026.1681802

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