Evaluating AI‐Generated Meal Plans for Simulated Diabetes Profiles: A Guideline‐Based Comparison of Three Language Models

While LLMs showed promise in generating baseline dietary guidance in a simulated context, these results reflected concordance with guideline documents only and concordance with guideline documents only and should not be interpreted as evidence of equivalence to dietitian-led care. These findings reflected model behaviour in synthetic scenarios only and highlighted the need for RAG integration and expert supervision before any clinical application.