Large Language Models for Thematic Summarization in Qualitative Health Care Research: Comparative Analysis of Model and Human Performance

Large Language Models for Thematic Summarization in Qualitative Health Care Research: Comparative Analysis of Model and Human Performance

Abstract BackgroundThe application of large language models (LLMs) in analyzing expert textual online data is a topic of growing importance in computational linguistics and qualitative research within health care settings. ObjectiveThe objective of this study was t...

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Bibliographic Details
Main Authors: Arturo Castellanos, Haoqiang Jiang, Paulo Gomes, Debra Vander Meer, Alfred Castillo
Format: Article
Language:English
Published: JMIR Publications 2025-04-01
Series:JMIR AI
Online Access:https://ai.jmir.org/2025/1/e64447
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