Predicting 3D Post-Orthodontic Facial Outcomes With a Diffusion Model Trained on Unpaired Datasets
The results suggest that this generative framework holds potential as an auxiliary tool for visualizing post-orthodontic facial changes. By facilitating patient-clinician communication and helping to manage treatment expectations, the model offers a valuable, data-driven reference to complement professional clinical judgment.
Authors
- Huogen Wang (ORCID: https://orcid.org/0000-0002-3597-9269)
- Mengqi Zhou
- Xiaozhe Wang (ORCID: https://orcid.org/0000-0003-4824-4496)
- Qianhan Zheng
- Ting Kang
- Jun Lei
- Jiahao Chen
- Xuepeng Chen
- Weifang Zhang
Institutions
- Children's Hospital of Zhejiang University (CN)
- Zhejiang University Medical College Affiliated Stomatological Hospital (CN)
- Stomatology Hospital (CN)
- Zhejiang Medicine (China) (CN)
- Zhejiang University of Technology (CN)
Publication Details
- Journal
- International Dental Journal
- Published
- 2026-03-16
- DOI
- https://doi.org/10.1016/j.identj.2026.109507
- Primary Topic
- Orthodontics and Dentofacial Orthopedics
- Type
- article
- Field-Weighted Citation Impact
- 0.00