Performance of Enhanced Large Language Models on Prosthodontic Multiple-Choice Questions
This study illustrates the performance of enhanced LLMs in analysing prosthodontics questions with good accuracy and potential in dentistry education. This implies that enhanced LLMs may be more suitable than non-enhanced ones for processing dental-related tasks.
Authors
- Huishuai Zhang (ORCID: https://orcid.org/0000-0003-2711-7295)
- Zheng Wang (ORCID: https://orcid.org/0000-0003-4873-505X)
- Jiaxuan Liu
- Shaoxia Pan
- Z Gao
- Shenghan Gao
- Yongsheng Zhou
Institutions
- Peking University (CN)
- Peking University People's Hospital (CN)
- Stomatology Hospital (CN)
Publication Details
- Journal
- International Dental Journal
- Published
- 2026-02-23
- DOI
- https://doi.org/10.1016/j.identj.2026.109441
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00