The Impact of Language Variability on Artificial Intelligence Performance in Regenerative Endodontics
The performance of AI models varies significantly across languages. English queries yield higher accuracy. While AI shows potential for REPs information, current models lack sufficient accuracy for clinical reliance. Cautious interpretation and validation against guidelines are essential. Further research is needed to enhance AI performance in specialized dental fields.
Authors
- Tülin Doğan Çankaya (ORCID: https://orcid.org/0000-0003-0607-6703)
- Hatice Büyüközer Özkan (ORCID: https://orcid.org/0000-0003-4419-1518)
- Türkay Kölüş (ORCID: https://orcid.org/0000-0002-0840-7126)
Institutions
- Karamanoğlu Mehmetbey University (TR)
Publication Details
- Journal
- Healthcare
- Published
- 2025-05-20
- DOI
- https://doi.org/10.3390/healthcare13101190
- Citations
- 4
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 7.16