Application of AI image recognition system in improving the quality of training on ultrasound-guided nerve block technique for residents
10.3760/cma.j.cn116021-20240208-01906
- VernacularTitle: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
- Author:
Xinwei MA
1
;
Xuan WANG
;
Jie YU
;
Bowen ZHANG
;
Jingchao YANG
;
Jin LIU
;
Shijing WEI
;
Qiang WANG
;
Hui ZHENG
Author Information
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
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Ultrasonic imaging;
Nerve block;
Continuing medical education
- From:
Chinese Journal of Medical Education Research
2024;23(12):1608-1612,1613
- CountryChina
- Language:Chinese
-
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 t-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), 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. 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.
