Performance of Large Language Models on the Korean Dental Licensing Examination: A Comparative Study
Our findings will aid in evaluating the feasibility of integrating LLMs into dentistry to improve the quality and availability of dental services by offering patient information that meets the basic competency standards of a dentist.
Authors
- Woojun Kim
- Han-Gyeol Yeom (ORCID: https://orcid.org/0000-0002-5608-822X)
- Bong-Chul Kim (ORCID: https://orcid.org/0000-0003-2824-0439)
Institutions
- Daejeon University (KR)
- Carnegie Robotics (United States) (US)
- Carnegie Mellon University (US)
- Wonkwang University (KR)
Publication Details
- Journal
- International Dental Journal
- Published
- 2024-10-06
- DOI
- https://doi.org/10.1016/j.identj.2024.09.002
- Citations
- 15
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.80
Funders
- National Research Foundation
- Korea Health Industry Development Institute
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea