Abstract: Objective  To evaluate the application effect of a virtual simulation-assisted diagnosis system for facial aesthetics， based on medical artificial intelligence（ AI）， in the standardized training of clinical medicine students. Methods A total of 264 graduating clinical medicine students were selected and randomly divided into an experimental group（ n=132） and a control group（ n=132）. The experimental group received training using a hierarchical training system based on the AI platform （including 20 hours for anatomical cognition， 50 hours for virtual injection， and 30 hours for complication management）， while the control group received traditional teaching. Teaching outcomes were assessed through written examinations and operational skill assessments. Additionally， 172 trainees from 16 beauty institutions in Northeast Sichuan were surveyed to evaluate the platform's standardized education effectiveness and user experience. Results The assessment pass rate of the experimental group was 81.82%（ 108/132）， significantly higher than that of the control group（ 43.94%， 58/ 132）， with a statistically significant difference（ P<0.001）. Feedback from the beauty institutions indicated that 72.67%（ 125/ 172） of the trainees affirmed the platform's standardized education effectiveness， and 80.23% （138/172） expressed satisfaction with the overall user experience. Conclusion  The AI-based virtual simulation-assisted diagnosis system for facial aesthetics can effectively enhance the standardized diagnosis and treatment skills of clinical medicine students in the field of medical aesthetics. It demonstrates outstanding value in teaching and application， particularly in assisting diagnosis， risk avoidance， and personalized treatment planning.

Key words: Artificial intelligence, &emsp, Assisted diagnosis, &emsp, Development and application, &emsp, Facial aesthetics