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Article

Large Language Models for Individualized Psychoeducational Tools for Psychosis: A cross-sectional study

2025-02-20

Abstract excerpt

<h4>Objective: </h4> The study aims to evaluate psychosis-related questions to provide accurate, clear, and clinically relevant individualized information for patients and caregivers. <h4>Design: </h4> This cross-sectional study uses a qualitative analysis design. The researchers specifically employed a question-answering system (GPT-4 via ChatGPT) to generate responses to common questions about psychosis. Expert...

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Literature Corpus work
fef4f288-0945-5c00-aa2a-5fd561a80d12
DOI
10.22541/au.174002762.28205569/v1
Open publication

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Large Language Models for Individualized Psychoeducational Tools for Psychosis: A cross-sectional studyDOI 10.22541/au.174002762.28205569/v1
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