Classification success of salivary interleukin-1β in periodontitis grading with artificial intelligence models: a cross-sectional observational study
AI models showed significant classification accuracy, particularly with serum and salivary IL-1β levels and other blood parameters, underscoring the potential of these biomarkers, which could be integrated into the current classification.
Authors
- İhsan Pençe (ORCID: https://orcid.org/0000-0003-0734-3869)
- E Uzar (ORCID: https://orcid.org/0000-0002-4294-0151)
- Zühal Yetkin Ay (ORCID: https://orcid.org/0000-0003-4716-9404)
- Melike Şi̇şeci̇ Çeşmeli̇ (ORCID: https://orcid.org/0000-0001-9541-2590)
Institutions
- Süleyman Demirel Üniversitesi (TR)
- Antalya Bilim University (TR)
- Burdur Mehmet Akif Ersoy Üniversitesi (TR)
Publication Details
- Journal
- Journal of Applied Oral Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1590/1678-7757-2024-0580
- Citations
- 3
- Primary Topic
- Oral microbiology and periodontitis research
- Type
- article
- Field-Weighted Citation Impact
- 4.40