Improving tuberculosis-related knowledge in tuberculosis patients: Protocol for the development and validation of an evidence-based Q&A robot powered by large language models
We are the first study in China to apply LLMs to tuberculosis health education. Tailored specifically for TB, our model uses certified guidelines and expert consensus to minimize inaccuracies. Large language models provide access to personalized, private health information, and reducing stigma. Instead of creating a new platform, we use the popular WeChat platform to deliver education via videos, text, and images, enhancing accessibility and engagement. This innovative approach aims to improve patient adherence and contribute to better TB management and disease control outcomes.
Authors
- Xiufen Wang (ORCID: https://orcid.org/0000-0002-3541-740X)
- Guobao Li (ORCID: https://orcid.org/0000-0003-3061-193X)
- Dong Xu (ORCID: https://orcid.org/0000-0002-6413-3043)
- Wenjun He (ORCID: https://orcid.org/0000-0002-6993-1837)
- Xue Li (ORCID: https://orcid.org/0000-0003-3290-949X)
- Lanping Zhang (ORCID: https://orcid.org/0000-0003-2718-1748)
- J.Y. Chang
Institutions
- World Health Organization - Pakistan (PK)
- Shenzhen Third People’s Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251384143
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00