中国医学教育技术2026，Vol.40Issue(3)：346-351,6.DOI:10.13566/j.cnki.cmet.cn61-1317/g4.202603009
深度学习辅助诊断技术在中医院校影像教学中的应用探索
Exploration of the application of deep learning-assisted diagnostic technology in imaging education of TCM colleges and universities
摘要
Abstract
Objective To exploring the application value of artificial intelligence supported di-agnosis(AISD)software based on deep learning technology in the practical teaching of Medical Imag-ing in traditional Chinese medicine(TCM)colleges and universities.In view of the problems of stu-dents'insufficient understanding of complex images and short practical ability caused by the difficulty of two-dimensional image cognition and limited class hours in the traditional teaching mode,this study aims to provide the basis for the construction of intelligent and efficient Medical Image teaching mode through empirical research.Methods The study involved 100 undergraduate interns of grade 2020 who participated in Medical Imaging course in Shanghai University of Traditional Chinese Medicine from July 2023 to July 2024.They were randomly divided into the experimental group(n=50)and the control group(n=50).The experimental group used the AI-aided head and neck artery diagnosis sys-tem to realize the multi-angle and quantitative exploration of the head and neck artery image through the whole process of image post-processing(including surface reconstruction,volume reconstruction,maximum/minimum density projection)to intelligent analysis(covering plaque property identification,stenosis analysis,data measurement tools),while the control group used traditional multimedia slide teaching.Both groups completed 2 hours of study.Through the written test,self-efficacy and self-directed learning ability test,the learning effects of the two groups of students were evaluated,and the data were statistically compared.Results When the teaching ended,the total written test score was significantly higher in the experimental group(86.50±3.16)than in the control group(77.38±3.47),(P<0.001).In terms of specific item scores,the experimental group also outperformed the control group acrossed domains:head and neck artery recognition[(52.28±2.11)vs.(46.30±1.88),P<0.001],evaluation of arterial stenosis severity in the diseased group[(16.84±1.17)vs.(15.58±1.80),P<0.001],and characterization of plaque nature[(17.38±0.92)vs.(15.50±0.95),P<0.001].Before and after teaching,the experimental group showed a greater improvement in self-efficacy(4.38±1.43)compared with the control group(1.02±0.65)(P<0.001);The improvement in self-directed learning ability(21.8±1.90)was also higher than that of the control group(10.5±1.37)(P<0.001).Conclusion The AISD software based on deep learning can improve the image comprehen-sion ability,reading skills,and three-dimensional thinking ability of students in TCM colleges and universities,enhance their self-efficacy and self-learning ability,and provide a practical reference mode for the intelligent transformation of medical imaging education.关键词
人工智能/深度学习/中医院校/医学影像学Key words
artificial intelligence/deep learning/TCM colleges and universities/Medical Im-aging分类
社会科学引用本文复制引用
蒋蕾,罗鹏,李冠武,鲁丽,王真真..深度学习辅助诊断技术在中医院校影像教学中的应用探索[J].中国医学教育技术,2026,40(3):346-351,6.基金项目
上海中医药大学第二十三期课程建设项目(KECJ2024139) （KECJ2024139）
