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作 者:冯蕾[1] 孔金锋 陆逸飞 吴健[2] 徐雯[1] Feng Lei;Kong Jinfeng;Lu Yifei;Wu Jian;Xu Wen(Ophthalmology Center,The Second Affiliated Hospital of Zhejiang University School of Medicine,Hangzhou 310000,China;School of Computer Science and Technology,Zhejiang University,Hangzhou 310058,China)
机构地区:[1]浙江大学医学院附属第二医院眼科中心,杭州310000 [2]浙江大学计算机科学与技术学院,杭州310058
出 处:《中华医学教育探索杂志》2021年第9期994-996,共3页Chinese Journal of Medical Education Research
摘 要:本研究将智能眼底影像辅助诊断系统应用于眼科临床带教,探讨其在提高眼科学临床教学质量中的作用。围绕糖尿病性视网膜病变的临床带教案例,分析了具体应用步骤、效果以及改进策略。结果发现智能眼底影像辅助诊断系统提供的典型案例作为导入材料,可使课程更加生动;学生在课后利用该系统反复练习,可以加深知识的理解,增强学习积极性,应用效果得到了学生的肯定。In this study, artificial intelligence aided diagnosis system of fundus images was applied to clinical teaching of ophthalmology to explore its role in improving the teaching quality. Taking the clinical teaching of diabetic retinopathy as an example, we analyzed the specific steps, effects and improvement strategies. The results revealed that the course could be more interesting and impressing by using the typical cases provided by the artificial intelligence aided diagnosis system of fundus images. In the meanwhile, this system provided the excellent chances for ophthalmology postgraduates to exercise after class, which deepened their understanding of knowledge and enhanced their learning enthusiasm. The application effect has been affirmed and recognized by students.
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