Development and validation of artificial intelligence models for automated periodontitis staging and grading using panoramic radiographs
The proposed YOLOv8-based framework accurately detects key periodontal landmarks and automates disease staging and grading. Future work should expand the dataset, refine the tooth detection model, and validate the system in clinical settings to support large-scale periodontal screening and improved patient care.
Authors
- Thủy Thu Nguyễn (ORCID: https://orcid.org/0000-0003-2525-2880)
- Van Lam (ORCID: https://orcid.org/0000-0002-2571-7599)
- Truc Thanh Thai (ORCID: https://orcid.org/0000-0003-2512-8281)
- Khiem Quang
Institutions
- Ho Chi Minh City University of Science (VN)
- University of Medicine and Pharmacy at Ho Chi Minh City (VN)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1186/s12903-025-07025-8
- Citations
- 4
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 7.16