Artificial intelligence-assisted identification and assessment of mandibular asymmetry on panoramic radiography
The AI model accurately identifies anatomic landmarks and assesses mandibular asymmetry in OPG radiographs, demonstrating generalizability and robustness across different dentitions and showcasing potential as a promising diagnostic tool in clinical practice.
Authors
- Wanting Qu (ORCID: https://orcid.org/0000-0003-3050-7729)
- Z. Q. Qiu (ORCID: https://orcid.org/0000-0003-0680-0714)
- Yifan Lin (ORCID: https://orcid.org/0000-0002-2614-9159)
- Hao Chen (ORCID: https://orcid.org/0000-0002-8400-3780)
- Kwok L. Lam (ORCID: https://orcid.org/0000-0001-5429-2799)
- Koshla Guna Sakaran
Institutions
- Chinese University of Hong Kong (HK)
- Hong Kong University of Science and Technology (HK)
- University of Hong Kong (HK)
Publication Details
- Journal
- American Journal of Orthodontics and Dentofacial Orthopedics
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1016/j.ajodo.2025.01.018
- Citations
- 3
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 5.37
Funders
- University of Hong Kong
- University Research Committee, University of Hong Kong