Comparison of artificial intelligence-generated and physician-generated patient education materials on early diabetic kidney disease
The LLMs-sourced PEMs, especially the ERNIE Bot 4.0's non-guideline PEM for early DKD, performed comparably to the physician-sourced PEM in terms of accuracy, completeness, safety, and patient comprehensibility, and exerted a high degree of feasibility. AI may show the potential for broader applications in patient education in the near future.
Authors
- Jun Qin (ORCID: https://orcid.org/0000-0002-2647-9270)
- Xiaoyan Xiao (ORCID: https://orcid.org/0000-0002-6320-4807)
- Lei Gong (ORCID: https://orcid.org/0000-0001-6429-267X)
- Hua Liang (ORCID: https://orcid.org/0000-0003-3170-6922)
- Qi Zhang (ORCID: https://orcid.org/0000-0002-5055-3637)
- Yanan Wang (ORCID: https://orcid.org/0000-0002-1835-438X)
- Sha Wang (ORCID: https://orcid.org/0000-0003-4661-9581)
- Luyao Li (ORCID: https://orcid.org/0000-0003-1397-5045)
- Miaomiao Cheng
Institutions
- Shandong University (CN)
- Qilu Hospital of Shandong University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-04-22
- DOI
- https://doi.org/10.3389/fendo.2025.1559265
- Citations
- 8
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 19.85
Funders
- Shandong University
- Qilu Hospital of Shandong University