Comparison of large language models for clinical scenario generation in medical education: a mixed-methods study

In this study, Claude was rated highest for generating Turkish-language scenarios perceived as clinically appropriate and pedagogically useful for undergraduate medical education in Türkiye. Overall, the findings provide preliminary evidence on perceived scenario quality across models and support further multicenter and outcomes-focused studies to evaluate feasibility, implementation, and educational impact in diverse settings. Future research should also examine how LLM-generated scenarios can be used as supplementary materials in simulation-based learning.