创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (24): 150-153.

• 创新方法 • 上一篇    下一篇

AI智眸病理图像分析系统在医学教育数字化转型中的应用探索

崔笑宇1, 马腾2, 赵越1, 高兴华3, 齐瑞群3   

  1. 1.东北大学 医学与生物信息工程学院,辽宁沈阳 110016;
    2.中国医科大学,辽宁沈阳 110122;
    3.中国医科大学附属第一医院,辽宁沈阳 110122
  • 出版日期:2025-12-25 发布日期:2026-05-14
  • 通讯作者: 齐瑞群(1978—),男,山东巨野人,博士研究生,教授,研究方向:皮肤性病学,电子邮箱:xiaoqiliumin@163.com。
  • 作者简介:崔笑宇(1984—),男,辽宁桓仁人,博士研究生,副教授,研究方向:医学数据处理与分析。
  • 基金资助:
    2024年度辽宁省研究生教育教学改革项目“医工交叉学科研究生递阶培养体系改革与实践”(LNYJG2024066)

Exploration of the Application of AI Intelligent Eye Pathology Image Analysis System in the Digital Transformation of Medical Education

CUI Xiaoyu1, MA Teng2, ZHAO Yue1, GAO Xinghua3, QI Ruiqun3   

  1. 1. College of Medicine and Biological Information Engineering, Northeastern University, Shenyang Liaoning, 110016, China;
    2. China Medical University, Shenyang Liaoning, 110122, China;
    3. The First Hospital of China Medical University, Shenyang Liaoning, 110122, China
  • Online:2025-12-25 Published:2026-05-14

摘要: 该文旨在探讨AI智眸病理图像分析系统在病理学教学中促进教学方式创新与教育数字化转型融合的成效,通过问卷调查收集学生对传统教学方式及基于该系统的新型线上病理学教学方式的看法与使用反馈,分析基于AI智眸病理图像分析系统的新型线上病理学教学方式的优势、应用前景以及对学生学习效果的影响。研究结果表明:基于AI智眸病理图像分析系统的新型线上病理学教学方式对提高学生的学习效率和病理诊断能力起到积极作用。由此可见,AI智眸病理图像分析系统与病理学教学的融合,切实推动了教学方式的创新。随着科技和医疗行业的持续发展,该系统在病理学教学领域的应用前景广阔,未来市场规模有望逐步扩大,覆盖范围也将不断拓宽。

关键词: 教育数字化转型, 教学改革, 人机融合, 病理学教学, 线上教学, 人工智能

Abstract: The purpose of this article is to explore the effectiveness of the AI intelligent eye pathology image analysis system in promoting the integration of innovative teaching methods and digital transformation of education in pathology teaching. Collect students'opinions and feedback on traditional teaching method and new online pathology teaching method based on the system through a questionnaire survey. Analyzed the advantages, application prospects, and impact on students'learning outcomes of a new online pathology teaching method based on AI intelligent eye pathology image analysis system. The research results indicate that the new online pathology teaching method based on AI intelligent eye pathology image analysis system has a positive effect on improving students'learning efficiency and pathological diagnosis ability. It can be seen that the integration of AI intelligent eye pathology image analysis system and pathology teaching has effectively promoted the innovation of teaching methods. With the continuous development of technology and the medical industry, the application prospects of this system in the field of pathology teaching are broad. The market size is expected to gradually expand in the future, and the coverage will also continue to expand.

Key words: Digital transformation of education, Reform in teaching, Human-machine integration, Pathology teaching, Online teaching, Artificial intelligence

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