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Milyun Ni’ma Shoumi

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Open access Jul 2026

Adaptive Retrieval-Augmented Generation (RAG) for Structured Clinical Notes from Patient–Provider Transcripts: A Multilingual Study

Adaptive RAG can improve structure compliance and reduce hallucinations in multilingual clinical note generation without dataset-specific prompt engineering or model fine-tuning, and these findings support retrieval-based format adaptation as a generalizable mechanism for diverse clinical documentation contexts.

Milyun Ni’ma Shoumi, Kazumasa Harada, Hitomi Oshita et al. · 0 citations

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