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A Chatbot for the Management of Bipolar Disorder: Using Retrieval-Augmented Generation with an Open-Weight Large Language Model to Answer Clinical Questions Based on the CANMAT and ISBD 2018 Guidelines for Bipolar Disorder

2025-12-02

Abstract excerpt

<h4>Objective</h4> Clinical practice guidelines support evidence-based care but are often underused due to complexity, time constraints, and navigation challenges. We investigated whether a conversational agent (chatbot) using an open-weight large language model (LLM) with retrieval-augmented generation (RAG) could provide guideline-consistent answers for bipolar disorder management based on the full 2018 CANMAT...

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Genomics and Rare Diseases

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Literature Corpus work: 4bdcbbfd-3439-5907-8eb6-1c463a03ca70
DOI: 10.64898/2025.11.30.25341311

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A Chatbot for the Management of Bipolar Disorder: Using Retrieval-Augmented Generation with an Open-Weight Large Language Model to Answer Clinical Questions Based on the CANMAT and ISBD 2018 Guidelines for Bipolar DisorderDOI 10.64898/2025.11.30.25341311Read

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