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Development, System Design, Safety, and Performance Metrics of a Conversational Agent for Reducing Depressive and Anxious Symptoms Based on a Large Language Model: The MHAI Study

2025-09-24

Abstract excerpt

<h4>Background</h4> Conversational agents based on large language models (LLMs) have shown moderate efficacy in reducing depressive and anxiety symptoms. However, most existing evaluations lack methodological transparency, rely on closed-source models, and show limited standardization in performance and safety assessment. <h4>Objective</h4> We have two study objectives: (1) to develop an LLM-based conversational...

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Literature Corpus work
2e989fd5-2b42-57c2-b43f-8928e8a1ba08
DOI
10.1101/2025.09.22.25336411
Open publication

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Development, System Design, Safety, and Performance Metrics of a Conversational Agent for Reducing Depressive and Anxious Symptoms Based on a Large Language Model: The MHAI StudyDOI 10.1101/2025.09.22.25336411
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