Using large language models to integrate international IBD guidelines: A retrieval‐augmented generation approach

Key Points

• The research aims to evaluate the integration of international IBD guidelines using a large language model retrieval-augmented generation framework.
• Utilized a large language model (LLM) framework for guideline integration
• Employed retrieval-augmented generation (RAG) techniques
• Conducted a systematic evaluation of guideline usability
• The LLM-RAG framework integrated IBD guidelines with high fidelity
• Improved guideline usability was observed
• Potential support for decision-making at the point of care was highlighted