Researchers asked whether large language models can support junior physicians during the transition to unsupervised practice in a high-stakes specialty like anesthesiology. They compared model outputs for accuracy and clinical logicality using structured scoring, and also assessed practicality (such as step clarity and how well guidance fit guidelines) using ratings from junior physicians.

Overall, the models showed a trade-off. OpenAI o1 tended to be more accurate, while DeepSeek R1—especially the Chinese version—was rated as more practical. The study also reported that all models struggled with a specific part of urgent decision-making (the connection from “Situation” to “Assessment”) despite similar overall logicality ratings.