AI图像识别系统用于提升住院医师超声引导神经阻滞培训质量的研究  

Application of AI image recognition system in improving the quality of training on ultrasound-guided nerve block technique for residents

作　　者：马欣伟 王璇[2] 于洁 张勃雯 杨景超 刘瑾 魏时靖 王强 郑晖 Ma Xinwei;Wang Xuan;Yu Jie;Zhang Bowen;Yang Jingchao;Liu Jin;Wei Shijing;Wang Qiang;Zheng Hui(Department of Anesthesiology,National Cancer Center/National Clinical Research Center for Caner/Cancer Hospital of Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100021,China;Department of Anesthesiology,The Affiliated Hospital of Qingdao University,Qingdao 266000,China)

机构地区：[1]国家癌症中心/国家肿瘤临床医学研究中心/中国医学科学院,北京协和医学院,肿瘤医院麻醉科,北京100021 [2]青岛大学附属医院麻醉科,青岛266000

出　　处：《中华医学教育探索杂志》2024年第12期1608-1613,共6页Chinese Journal of Medical Education Research

基　　金：北京市自然科学基金(7232133);中国医学科学院肿瘤医院住培教学研究课题(E2023009);中国医学科学院医学与健康科技创新工程项目(2022-I2M-C&T-B-086)。

摘　　要：目的探讨人工智能(artificial intelligence,AI)图像识别教育系统在麻醉科初学住院医师超声引导神经阻滞技术规范化培训中的应用及教学效果。方法选取自2023年1月至12月在中国医学科学院肿瘤医院麻醉科与青岛大学附属医院麻醉科接受培训的40名住院医师为研究对象,将其随机分为试验组(AI图像识别教育系统带教)和对照组(传统带教),旨在进行神经阻滞技术的培训及考核,每组各20名。通过比较两组住院医师的临床操作实践评分、教学效果评价及教学质量评价,以评估两组住院医师的培训质量。采用SPSS 23.0软件对数据进行t检验和卡方检验。结果试验组住院医师的临床操作实践评分高于对照组[(4.65±0.49)vs.(3.60±0.75),P<0.001];试验组住院医师在超声引导神经阻滞技术的方法掌握程度[(17.45±1.23)vs.(13.85±1.27),P<0.001]、临床操作满意度[(16.70±1.34)vs.(13.95±1.00),P<0.001]及学习积极性[(17.35±1.50)vs.(13.55±0.94),P<0.001]均优于对照组;试验组的教学质量评分也高于对照组[(17.30±1.59)vs.(14.25±1.68),P<0.001],说明试验组住院医师的培训质量优于对照组。结论应用AI图像识别教育系统进行超声引导神经阻滞技术的规范化培训,能够提升带教教师的教学质量,增强规培医师的学习效果,并调动其学习积极性,值得进一步推广和应用。ObjectiveTo explore the application and teaching effect of artificial intelligence(AI)image recognition education system in standardized training on ultrasound-guided nerve block technique for novice anesthesiology residents.MethodsForty residents trained in the Department of Anesthesiology of Cancer Hospital of Chinese Academy of Medical Sciences and the Department of Anesthesiology of the Affiliated Hospital of Qingdao University from January 2023 to December 2023 were selected as study subjects,and randomly divided into experimental group(teaching with the AI image recognition education system)and control group(traditional teaching)to undergo training and assessments on the nerve block technique,with 20 residents in each group.The training quality for the two groups was assessed by comparing the clinical practice score,teaching effect evaluation,and teaching quality evaluation.SPSS 23.0 software was used for the t-test and chi-square test on data.ResultsCompared with the control group,residents in the experimental group had higher clinical practice scores[(4.65±0.49)vs.(3.60±0.75),P<0.001]and better method mastery[(17.45±1.23)vs.(13.85±1.27),P<0.001],satisfaction with clinical operation[(16.70±1.34)vs.(13.95±1.00),P<0.001],and learning enthusiasm[(17.35±1.50)vs.(13.55±0.94),P<0.001]for the ultrasound-guided nerve block technique.The teaching quality score of the experimental group was higher than that of the control group[(17.30±1.59)vs.(14.25±1.68),P<0.001].Therefore,the training quality of residents in the experimental group was better than that of the control group.ConclusionsThe application of AI image recognition education system in standardized training on the ultrasound-guided nerve block technique improves the teaching quality of teachers,enhances the learning effect of novice anesthesiology residents,and mobilizes learning enthusiasm,which is worthy of further promotion and application.

关 键 词：人工智能 超声成像 神经阻滞 医学继续教育 

分 类 号：R614[医药卫生—麻醉学]