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数字化背景下脑脊液细胞形态学教学模式的探索

Exploration of Teaching Model for Cerebrospinal Fluid Cell Morphology under Digitalization Background
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摘要 探讨在教育数字化背景下利用人工智能辅助诊断系统开展脑脊液细胞形态学教学的效果。以2019年1月至2022年8月在陆军军医大学第二附属医院血液病医学中心进修的32名学员为研究对象,随机分为试验组与对照组,试验组采用人工智能辅助诊断系统教学模式,对照组采用传统教学模式,比较两组学员学习效果。实践表明,基于人工智能辅助诊断系统的教学模式,有助于提高学员对脑脊液细胞形态学的学习兴趣,具备良好的细胞识别能力,教学效果较好。 Exploring the effectiveness of using artificial intelligence assisted diagnostic system for teaching cerebrospinal fluid cell morphology in the context of digitalization education.A total of 32 students who studied at the Hematology Medical Center of the Second Hospital,Army Medical University from January 2019 to August 2022 were randomly divided into an experimental group and a control group.The experimental group received an artificial intelligence assisted diagnostic system teaching model,while the control group received a traditional teaching model.The learning effects of the two groups of students were compared.Practice has shown that the teaching model based on artificial intelligence assisted diagnostic system can help improve students′interest in learning cerebrospinal fluid cell morphology,possess good cell recognition ability,and achieve good teaching results.
作者 杨武晨 高力 墙星 张洪洋 熊静康 张诚 高蕾 彭贤贵 张曦 YANG Wuchen;GAO Li;QIANG Xing;ZHANG Hongyang;XIONG Jingkang;ZHANG Cheng;GAO Lei;PENG Xiangui;ZHANG Xi(Second Hospital,Army Medical University,Chongqing City,China400037)
出处 《卫生职业教育》 2025年第1期46-49,共4页 HEALTH VOCATIONAL EDUCATION
基金 重庆市科卫联合医学科研项目“脑脊液细胞学检查中人工智能识别及预警系统的建立与临床应用”(2019QNXM005) 陆军军医大学研究生教育教学改革研究项目“基于案例库建设的血液病专业学位研究生培养”(2023yjsA05)。
关键词 数字化 人工智能辅助诊断系统 脑脊液细胞形态学 Digitalization Artificial intelligence assisted diagnostic system Cerebrospinal fluid cell morphology
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