Assessing AI in Various Elements of Enhanced Recovery After Surgery (ERAS)-Guided Ankle Fracture Treatment: A Comparative Analysis with Expert Agreement

AI-powered LLMs, particularly ChatGPT, show promise in supporting clinical decision-making for ERAS-guided ankle fracture management. While ChatGPT provided more accurate and contextually relevant responses, inconsistencies with expert consensus highlight the need for further refinement, validation, and clinical integration. iFlytek Spark's lower conformity suggests potential differences in training data and underlying algorithms, underscoring the variability in AI-generated medical advice. To optimize AI's role in orthopedic care, future research should focus on enhancing AI alignment with medical guidelines, improving model transparency, and integrating physician oversight to ensure safe and effective clinical applications.