International Journal of Clinical Research

Objective This study aimed to explore the application and effect of artificial intelligence-assisted teaching in coronary computed tomography angiography (CTA) diagnosis for interns. Methods Sixty students of grade 5 majoring in medical imaging who were interning in the medical imaging department of Nanjing Drum Tower Hospital from June 2021 to June 2023 were selected as the research subjects. They were randomly divided into an experimental group and a control group. Students in the experimental group were trained on coronary CTA diagnosis using the artificial intelligence-assisted teaching mode, while students in the control group were trained using the traditional teaching mode. The theoretical scores, learning efficiency and clinical practice abilities of students in the two groups were compared after the internship. Results The image post-processing time (21.75 sec vs. 321.80 sec, P<0.001) and report writing time (307.72 sec vs. 325.67 sec, P<0.05) of students in the experimental group were significantly shorter than those in the control group, and their theoretical scores (86.93 vs. 82.30, P<0.001), image post-processing quality (4.60 vs. 4.05, P<0.001) and reporting quality (4.38 vs. 4.04, P<0.001) were significantly higher than those in the control group. Conclusion AI technology-assisted coronary CTA diagnostic teaching helped improve learning efficiency, consolidate theoretical knowledge and improved coronary CTA diagnostic capabilities of students. The assistance of AI can comprehensively improve the teaching effect of coronary CTA diagnosis and is worthy of promotion and application.

Artificial intelligence; Coronary artery; Computed tomography angiography; Imaging diagnosis; Education