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

马欣伟; 王璇; 于洁; 张勃雯; 杨景超; 刘瑾; 魏时靖; 王强; 郑晖

doi:10.3760/cma.j.cn116021-20240208-01906

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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

协和麻醉毕业后教育探索专栏 | 更新时间：2024-12-26

- 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
- 中华医学教育探索杂志 2024年23卷第12期页码：1608-1612
- 作者机构：
  
  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
- 作者简介：
  
  王强，Email：wqzjbd001@163.com
- 基金信息：
  
  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)
- DOI：10.3760/cma.j.cn116021-20240208-01906
  中图分类号： R614
- 纸质出版日期：2024-12-20，
  
  收稿日期：2024-02-08，
- 稿件说明：
移动端阅览
马欣伟, 王璇, 于洁, 等. 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[J]. 中华医学教育探索杂志, 2024, 23(12): 1608-1612.

MA XINWEI, WANG XUAN, YU JIE, et al. Application of AI image recognition system in improving the quality of training on ultrasound-guided nerve block technique for residents. [J]. Chinese journal of medical education research, 2024, 23(12): 1608-1612.
马欣伟, 王璇, 于洁, 等. 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[J]. 中华医学教育探索杂志, 2024, 23(12): 1608-1612. DOI： 10.3760/cma.j.cn116021-20240208-01906.

MA XINWEI, WANG XUAN, YU JIE, et al. Application of AI image recognition system in improving the quality of training on ultrasound-guided nerve block technique for residents. [J]. Chinese journal of medical education research, 2024, 23(12): 1608-1612. DOI： 10.3760/cma.j.cn116021-20240208-01906.

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

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），

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），

0.001

]

、临床操作满意度[（16.70±1.34） vs.（13.95±1.00），

0.001

]

及学习积极性[（17.35±1.50） vs. （13.55±0.94），

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），

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。

Abstract

Objective

To 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.

Methods

Forty 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

-test and chi-square test on data.

Results

Compared with the control group

residents in the experimental group had higher clinical practice scores [(4.65±0.49) vs. (3.60±0.75)

0.001

]

and better method mastery [(17.45±1.23) vs. (13.85±1.27)

0.001

]

satisfaction with clinical operation [(16.70±1.34) vs. (13.95±1.00)

0.001

]

and learning enthusiasm [(17.35±1.50) vs. (13.55±0.94)

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)

0.001

]

. Therefore

the training quality of residents in the experimental group was better than that of the control group.

Conclusions

The 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

Keywords

Artificial intelligenceUltrasonic imagingNerve blockContinuing medical education

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