Application of artificial intelligence in the standardized residency training for non-imaging specialists in radiology
Li Jie
Luo Xianfu
Hu Xiaohua
Ye Jing
Abstract：Objective To evaluate the application of artificial intelligence in the standardized residency training of non-imaging specialty resident physicians in radiology.Methods A total of 70 non-imaging professional resident physicians enrolled in the study,who underwent standardized residency training in the Radiology Department of the Northern Jiangsu People's Hospital from April to September 2023,they were randomly divided into observation group and control group according to their majors,with 35 people in each group.The observation group was a combination of artificial intelligence and lecture teaching,and the control group was the traditional lecture teaching.The effects of the two teaching modes were compared through the graduation exams,Likert self-assessment scale and satisfaction survey.Results The examination scores and Likert self-assessment scale results of the observation group were better than those of the control group(P<0.05).The total satisfaction rate of the observation group was 88.4%and that of the control group was 59.0%.The satisfaction rate of observation group was significantly higher than that of the control group(P<0.05).Conclusions The application of artificial intelligence combined with lecture teaching for the standardized residency training in radiology can effectively increase the imaging diagnosis level and teaching satisfaction of non-imaging professional resident physicians.
Keywords：artificial intelligencenon-imaging specialtiesstandardized residency trainingtraining
Publication Date：2024-10-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 745-748 )