Objective To explore the application effects of artificial intelligence(AI)combined with cinematic rendering(CR)technology in the post-processing teaching of CT angiography(CTA)for Radiology residents and the cultivation of diagnostic thinking in imaging.Methods A total of 33 residents who joined in the standardized training of Radiology of the Third Affiliated Hospital of Guangzhou Medical University from March 2021 to March 2023 were selected as the research objects and randomly divided into the control group(n=17)and the experimental group(n=16).The control group used traditional teaching mode,while the experimental group was taught using AI+CR technol-ogy teaching mode.The evaluation of teaching effect was conducted through examination and ques-tionnaire survey.Results The scores of theoretical assessment,skill operations,and clinic-imaging thinking of the experimental group were(75.00±5.35,85.54±5.49,80.27±4.36),higher than those of the control group(71.06±4.08,80.28±7.35,75.67±3.67),and the differences were statistically significant(P=0.023,0.027,0.003).Results of the questionnaire survey showed that the satisfaction rate of the experimental group(62.5%)with this teaching mode was higher than that of the control group using traditional teaching(17.6%),and the difference was statistically significant(P=0.013).At the same time,students in the experimental group provided feedback,saying that this teaching mode had certain assistance in enhancing learning interest,improving learning efficiency,enhancing image quality,and raising professional competence.Conclusion The introduction of cutting-edge AI combined with CR technology into the post-processing training of CTA for Radiology residents con-tributes to enhancing the learning experience,cultivating the"clinic-imaging combination"thinking of students,and improving the efficiency of learning professional knowledge.
关键词
人工智能/电影渲染/CTA/规培医师/教学评价
Key words
artificial intelligence/cinematic rendering/CTA/residents of standardized train-ing/teaching evaluation
维普
万方数据