Artificial Intelligence Assisted Thermal Imaging for Gingival Inflammation Assessment: A Novel Approach
This study represents the first application of AI-supported thermal imaging for evaluating gingival inflammation in mouth breathers, marking a significant step forward in periodontal diagnostics. By establishing specific thermal thresholds in this unique population, it highlights the potential of this innovative approach as a non-invasive, real-time, and scalable diagnostic tool. Future research should focus on refining AI algorithms and expanding datasets to enhance clinical applicability, paving the way for advanced diagnostics and personalized care in periodontology.
Authors
- Sühan Gürbüz (ORCID: https://orcid.org/0000-0003-2277-2020)
- Ahmet Ozan Koyuncu (ORCID: https://orcid.org/0000-0002-5834-2455)
- Zeynep Turgut Çankaya (ORCID: https://orcid.org/0000-0002-4093-9755)
Institutions
- Eskisehir Technical University (TR)
- Turkish Aerospace Industries (Turkey) (TR)
- Gazi University (TR)
Publication Details
- Journal
- Journal of Esthetic and Restorative Dentistry
- Published
- 2025-10-11
- DOI
- https://doi.org/10.1111/jerd.70045
- Citations
- 2
- Primary Topic
- Oral microbiology and periodontitis research
- Type
- article
- Field-Weighted Citation Impact
- 2.93