A hybrid PubMed-KG RAG system improves NLI faithfulness of multi-stakeholder clinical-trial summaries by ~0.013 (p<0.0001) across GPT-4o, Claude Sonnet 4.6, and Gemini 2.5 Flash, while Unsupported Claims remains the dominant human-annotated failure mode (mean 1.55/3).
Healey, Vittorio Loprinzo, Ulrike Kochendoerfer, Angela Russell Winnier, Peter V
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Faithful by Design: Evaluating and Improving LLM-Generated Clinical Trial Summaries for Multi-Stakeholder Audiences
A hybrid PubMed-KG RAG system improves NLI faithfulness of multi-stakeholder clinical-trial summaries by ~0.013 (p<0.0001) across GPT-4o, Claude Sonnet 4.6, and Gemini 2.5 Flash, while Unsupported Claims remains the dominant human-annotated failure mode (mean 1.55/3).