Detection and Classification of Peri‐Implant Marginal Bone Loss in Cone‐Beam Computed Tomography Using a Deep Learning Approach
The YOLOv8-based deep learning model can reliably detect and grade peri-implant marginal bone loss on CBCT images. Future research should expand datasets, incorporate multimodal information, and validate performance across diverse clinical settings.
Authors
- Bashizadeh Fakhar H.
- Zahra Hamidi Madani (ORCID: https://orcid.org/0000-0002-7903-8364)
Institutions
- Tehran University of Medical Sciences (IR)
Publication Details
- Journal
- Clinical and Experimental Dental Research
- Published
- 2026-02-17
- DOI
- https://doi.org/10.1002/cre2.70308
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00