Application effect of chest CT combined with artificial intelligence assisted diagnosis in medical imaging diagnosis teaching
Chai Yaru
Gao Jianbo
Xing Jingjing
Lv Peijie
Yang Zhihao
Zhang Yonggao
Abstract：Objective To explore the application effect of chest CT combined with artificial intelligence(AI)assisted diagnosis teaching mode in the standardized training of residents in radiology department.Methods From January 2021 to December 2023,a total of 120 residents who rotated in the Department of Radiology,the First Affiliated Hospital of Zhengzhou University were selected and divided into observation group and control group based on whether their traing were combined with AI assisted diagnosis teaching.The clinical diagnosis coincidence rate of the two groups were observed and compared after training.The teaching quality were compared through questionnaires.Results The diagnostic coincidence rates in observation group for high risk nodules and fractures were both higher than those in control group(P<0.05).The detection rates in observation group for nodules larger than 6 mm and 8 mm were both higher than those in control group(P<0.05).The detection rate for nodules larger than 15 mm and the completeness of description for CT findings were not statistically different(P>0.05)between two groups.The difficulty of comprehension in observation group was not statistically different from that in control group.Learning interest and clinical diagnostic thinking ability in observation group were significantly higher than those in control group(P<0.05).Conclusion The teaching mode of chest CT combined with AI assisted diagnosis can improve the coincidence rate of clinical diagnosis,and enhance learning interest and clinical diagnostic thinking ability of residents.
Keywords：artificial intelligencemedical imagingstandardized residency trainingeffectiveness evaluation
Publication Date：2026-02-20
Online Publishing Date：2026-03-09(First online date of this platform, not the publication date of the document)
Pages：4( 132-135 )