Performance of Multimodal Generative <scp>AI</scp> Models in Addressing Complex Dental Inquiries With Text, Images, and Analytical Data
Large language models canbe applied not only to memorization-type but also interpretation andproblem-solving cognitive questions in dentistry. Tomaximize the utility of these artificial intelligence models, users need bothan understanding of their differences and the ability to manage complexclinical data.
Authors
- Jong‐Eun Kim (ORCID: https://orcid.org/0000-0002-7834-2524)
- Hang‐Nga Mai (ORCID: https://orcid.org/0000-0002-9832-3312)
- Du‐Hyeong Lee (ORCID: https://orcid.org/0000-0003-2803-7457)
- Seok‐Hwan Cho (ORCID: https://orcid.org/0000-0002-2383-4011)
- Jekita Kaenploy (ORCID: https://orcid.org/0009-0004-2125-4357)
Institutions
- University of Iowa (US)
- Yonsei University (KR)
- Kyungpook National University (KR)
- Hanoi University of Business and Technology (VN)
- Yonsei University College of Dentistry
- University of Oklahoma Health Sciences Center (US)
Publication Details
- Journal
- Journal of Esthetic and Restorative Dentistry
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1111/jerd.70064
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00