Reproduce “MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses using Large Language Models” on OpenResearch

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About this paper

Subash Neupane, Shaswata Mitra, Sudip Mittal, Noorbakhsh Amiri Golilarz, Shahram Rahimi, Amin Amirlatifi

MedInsight combines patient-specific transcript context with relevant medical knowledge before an LLM answers medical questions. It organizes transcripts, retrieves patient and external medical information, and supplies both with the question to generate a tailored response. In a proof-of-concept evaluation on synthetic records, GPT-3.5-Turbo answers scored 0.93 for similarity and 0.84 for correctness; this does not establish clinical benefit.

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