Comparing large language models and search engine responses to common orthodontic questions
In this cross-sectional study, the LLMs, particularly GPT-4o, outperformed search engines. These results indicate the potential of LLMs as supplementary tools for orthodontic patient education and self-management.
Authors
- Jing Sun
- Yuanyuan Ren
Institutions
- Peking University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2026-01-02
- DOI
- https://doi.org/10.1371/journal.pone.0339908
- Primary Topic
- Health Literacy and Information Accessibility
- Type
- article
- Field-Weighted Citation Impact
- 0.00