Efficacy of ChatGPT in personalized glucose-lowering strategy development: a clinician-based comparative study
ChatGPT-4o performs reliably in generating glucose-lowering strategies for simpler diabetes cases, highlighting its potential to assist community health workers. However, its accuracy in complex cases, especially concerning medication contraindications, requires improvement.
Authors
- Hongyan Pan (ORCID: https://orcid.org/0000-0002-5724-8731)
- Lei Guo (ORCID: https://orcid.org/0000-0003-2055-7618)
- A. M. Li
- Huijuan Zhao
- Mingyue Jin (ORCID: https://orcid.org/0000-0003-0552-8608)
- Qiang Li (ORCID: https://orcid.org/0000-0002-6736-3389)
- Yue Wang (ORCID: https://orcid.org/0000-0003-0098-5359)
- Chenglin Zhang (ORCID: https://orcid.org/0000-0002-4971-0631)
- Pengfei Wei (ORCID: https://orcid.org/0000-0003-1845-8856)
- Chang Wang
Institutions
- City University of Hong Kong (HK)
- Shenzhen University (CN)
- Hainan Medical University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2026-03-11
- DOI
- https://doi.org/10.3389/fendo.2026.1693381
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00