Comparative performance of AI chatbots in dental implantology: insights and limitations
Current AI language models exhibit moderate but inconsistent competency when addressing complex implantology scenarios. While Gemini 1.5 Pro scored marginally higher, these differences are unlikely to be of major practical consequence. Continuous validation, transparent reporting of model versions, and expert supervision remain essential before integrating such systems into routine dental education or clinical decision-making.
Authors
- Selin Gaş (ORCID: https://orcid.org/0000-0002-3337-9403)
- Rafat Sasany (ORCID: https://orcid.org/0000-0001-9321-1031)
- Sultan Merve Uçar (ORCID: https://orcid.org/0009-0004-4149-2061)
Institutions
- İstanbul Gelişim Üniversitesi (TR)
- Biruni University (TR)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2025-12-17
- DOI
- https://doi.org/10.1186/s12903-025-07426-9
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00