Observation on the application effect of artificial intelligence-assisted teaching mode in tumor imaging teaching

In this study, 60 senior undergraduates majoring in medical imaging in a medical university were recruited, Trying to dismantle the differences between traditional teaching and AI-assisted teaching in the field of tumor imaging, Subjects were randomly divided into two groups, A group that continues the conventional teaching method, Another set of embedded AI support modes, In the study to detect the depth of knowledge internalization, And using practical exercise combined with diagnostic task calibration skill levels, At the same time, the experience feedback data were collected through the questionnaire and the interview channels, Results disclosure, Students who integrate artificial intelligence to help them learn are better in terms of knowledge absorption and actual performance, And the curriculum, content interest, and means of acceptance evaluation is higher, The above situation indirectly suggests that, Even if artificial intelligence is unique, Its efficiency is still subject to the degree of technical run-in, data accuracy and teaching adaptability and other multiple dimensions of the pulling effect, In order to create a more flexible and more efficient teaching pattern model, we must interact with the traditional educational form.