Fusion path of knowledge graph and three-dimensional visualization on intelligent teaching of nervous system anatomy

doi:10.16098/j.issn.0529-1356.2026.06.002

PDF(2328 KB)

Acta Anatomica Sinica ›› 2026, Vol. 57 ›› Issue (5) : 528-535. DOI: 10.16098/j.issn.0529-1356.2026.06.002

Digital-Intelligent Anatomy Teaching

Fusion path of knowledge graph and three-dimensional visualization on intelligent teaching of nervous system anatomy

TAN Zhen¹, ZHU Chu-hong², XU Jian-hua^2*, WANG Zi-jun^2*

Author information +

History +

Abstract

Objective To evaluate the application effect of the teaching mode combining knowledge graph and three-dimensional(3D) visualization technology in the teaching of neuroanatomy. Methods The neuroanatomical knowledge graph was constructed based on the foundational model of anatomy （FMA）, and Complete Anatomy was used as the 3D visualization software. A total of 120 students were selected and divided into 3D visualization combined with knowledge graph teaching group (T+K group), 3D visualization teaching group (T group), knowledge graph teaching group (K group) and traditional teaching control group (Ctrl group), with 30 students in each group. The teaching effects of each group were evaluated through theoretical examinations, specimen identification tests and questionnaire surveys. Results A neuroanatomical knowledge graph integrating anatomical spaces, structures, tissues and vascular systems was construction. The theoretical scores of T+K group, T group, K group and control group were 83.65±4.45, 66.35±5.43, 71.25±6.00 and 61.65±8.48, respectively. The specimen identification scores were 94.42±6.22, 85.75±10.51, 86.25±11.14 and 83.92±9.86, respectively. The theoretical and specimen identification scores of the T+K group were significantly higher than those of the other three groups. The total scores of the questionnaire survey were 34.37±3.57, 30.00±5.91, 28.60±4.26, and 22.77±5.53, respectively. The scores of T+K group were significantly higher than those of the other three groups. Conclusion The integrated application of 3D visualization and knowledge graph could enhance students’ mastery of neuroanatomy knowledge, reduce the difficulty of the course, stimulate learning interest, and optimize the teaching effect.

Key words

Nervous system

/ Human anatomy / Knowledge graph / Three-dimensional visualization / Questionnaire survey / Medical student

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

TAN Zhen, ZHU Chu-hong, XU Jian-hua, WANG Zi-jun.

Fusion path of knowledge graph and three-dimensional visualization on intelligent teaching of nervous system anatomy

[J]. Acta Anatomica Sinica. 2026, 57(5): 528-535 https://doi.org/10.16098/j.issn.0529-1356.2026.06.002

References

［1］Tao XG, Chen RK. Discussion on neuroanatomy teaching in standardized training of neurosurgery specialists［J］. China Modern Doctor, 2025, 63(19): 92-95. (in Chinese)

陶晓刚, 陈若琨. 神经外科专科医师规范化培训的神经解剖教学探讨［J］. 中国现代医生, 2025, 63(19): 92-95.

［2］Zhang MM, Wang P, Yan Zh, et al. Construction and practice of virtual simulation experimental courseson the structure and function of the trigeminal nerve［J］. Acta Anatomica Sinica,2025,56(6): 743-749. (in Chinese)

张明明, 王盼, 闫昭,等. 三叉神经结构与功能虚拟仿真实验课建设与实践［J］. 解剖学报,2025,56(6):743-749.

［3］Yao HX, Cui JJ, Liu GZh, et al. Application of multimodal image fusion in neuroanatomy teaching ［J］. Continuing Medical Education, 2023, 37(6): 133-136. (in Chinese)

姚洪祥, 崔津津, 刘贯中,等. 多模态影像融合在神经解剖教学中的应用探索［J］. 继续医学教育, 2023, 37(6):133-136.

［4］Cheng QCh, Liu P, Liu HC, et al. Artificial intelligence-driven personalized teaching new paradigm for thoracic wall dissection［J］.Acta Anatomica Sinica, 2025, 56(5): 601-606. (in Chinese)

程全成, 刘平, 刘怀存,等. 人工智能驱动局部解剖学个性化教学新范式：以胸前壁局解为例［J］. 解剖学报, 2025, 56(5): 601-606.

［5］Cui H, Lu J, Xu R, et al. A review on knowledge graphs for healthcare: Resources, applications, and promises［J］. J Biomed Inform, 2025,169:104861.

［6］Qiu ShH, Sun MX, Cheng HB, et al. Research on teaching reform of course knowledge graph integration from the perspective knowledge correlation ［J］. Chinese Modern Educational Equipment, 2025(21): 158-161. (in Chinese)

邱胜海, 孙梦馨, 成焕波,等. 知识关联视角下课程知识图谱融合教学改革研究［J］. 中国现代教育装备, 2025(21): 158-161.

［7］Grne N, Grüneisen B, Klein K, et al. Layout of anatomical structures and blood vessels based on the foundational model of anatomy［J］. J Integr Bioinform, 2024, 21(3):20240023.

［8］Yang XD, Jiang XG, Yan XF, et al. Construction and practice of Biochemistry intelligent course based on knowledge graph ［J］. China Medical Education Technology, 2025, 39(6): 753-759. (in Chinese)

杨旭东, 蒋晓刚, 闫小飞,等. 基于知识图谱的生物化学智能课程构建与实践［J］. 中国医学教育技术, 2025, 39(6): 753-759.［9］Zhou RK, Chu KB, Yang LW, et al. Application and thinking of Complete Anatomy software in anatomy teaching ［J］. Advances in Anatomical Science, 2024, 30(6): 683-684. (in Chinese)

周儒奎, 储开博, 杨李旺,等. Complete Anatomy软件在解剖学教学中的应用与思考［J］. 解剖科学进展, 2024, 30(6): 683-684.

［10］Zhang HY, Liu HX, Liu GL. Application of knowledge graph technology combined with AI-assisted teaching in higher vocational medical imaging technology program for medical students under the background of digital education ［J］. China Health Industry, 2025, 22(18):4-7. (in Chinese)

张红艳, 刘红霞, 刘改乐. 教育数字化背景下知识图谱技术联合AI辅助教学在高职医学影像技术专业医学生中的应用［J］. 中国卫生产业, 2025, 22(18): 4-7.

［11］Liang N, Zhang QY, Zhang XQ, et al. Application of knowledge graph with the BOPPPS model in teaching perioperative nursing［J］. Journal of Nursing Science,2025, 40(16):1-6. (in Chinese)

梁娜, 张倩瑜, 张晓庆,等. 基于知识图谱的BOPPPS模式在围手术期护理教学中的应用［J］. 护理学杂志, 2025, 40(16):1-6.

［12］Xiao L, Shi QM, Wei XY, et al. Application of virtual simulation experimental teaching platform in systematic anatomy teaching ［J］.Acta Anatomica Sinica,2019, 50(5): 662-666. (in Chinese)

肖莉, 石清明, 魏小于,等. 虚拟仿真实验教学平台在系统解剖学教学中的应用［J］. 解剖学报,2019, 50(5): 662-666.

［13］Liu DK, Chang JS, Shi TT, et al. Application of complete anatomy software in the teaching of motor system of human anatomy ［J］. Technology Wind,2022(25):109-111. (in Chinese)

刘德康, 常加松, 史婷婷,等. Complete Anatomy软件在人体解剖学运动系统教学过程中的应用［J］. 科技风, 2022，(25): 109-111.

［14］Wu F, Li HB, Xiong KR, et al. Investigation of the effectiveness of mind mapping and 3D Body anatomysoftware in systematic anatomy teaching based on examination paper analysis ［J］.Chinese Journal of Histochemistry and Cytochemistry,2016, 25(3): 295-298. (in Chinese)

吴锋, 李怀斌, 熊克仁,等. 基于试卷分析探讨思维导图及3DBody解剖软件应用于系统解剖学教学的效果［J］. 中国组织化学与细胞化学杂志,2016, 25(3):295-298.

［15］Han Sh, Cao CL, Zhang XP, et al. Construction and thinking of knowledge graphs of systemic anatomy［J］. Journal of Anatomy,2024, 47(6): 542-545. (in Chinese)

韩硕, 曹翠丽, 张喜平,等. 系统解剖学知识图谱的建设与应用体会［J］. 解剖学杂志,2024, 47(6):542-545.