Deep learning-based fractured tooth detection in occlusal radiographs
The findings indicate that the proposed method effectively detects fractured teeth by leveraging machine learning techniques. Furthermore, this approach provides a pioneering framework for integrating artificial intelligence (AI) methodologies into dental diagnostics, offering clinicians a reliable decision-support tool for improved diagnostic accuracy.
Authors
- Özkan Miloğlu (ORCID: https://orcid.org/0000-0002-3826-8606)
- İbrahim Yücel Özbek (ORCID: https://orcid.org/0000-0002-5734-7430)
- Mustafa Taha Güller (ORCID: https://orcid.org/0000-0003-0790-4961)
- Ahmed N. Nusari
- Emin Argun Oral
- Esra Oncu
Institutions
- Giresun University (TR)
- Atatürk University (TR)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2025-12-18
- DOI
- https://doi.org/10.1186/s12903-025-07445-6
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00