A novel machine-learning-based model for prediction of open gingival embrasures between mandibular central incisors after clear aligners treatment: a retrospective cohort study
The integration of clinical features and ClinCheck in the machine-learning-based model demonstrated favorable predictive capabilities for OGE between lower central incisors. This comprehensive nomogram may contribute to precisely prediction and prevention of OGE in clinical practice.
Authors
- Feng Guo (ORCID: https://orcid.org/0000-0003-1030-7762)
- Houxuan Li (ORCID: https://orcid.org/0000-0002-3798-8628)
- Lang Lei (ORCID: https://orcid.org/0000-0003-2892-040X)
- Jun Chen (ORCID: https://orcid.org/0000-0003-2218-7382)
- Guifeng Li (ORCID: https://orcid.org/0000-0003-0974-0382)
Institutions
- Stomatology Hospital (CN)
- Suzhou Vocational Health College (CN)
- Nanjing Medical University (CN)
- Nanjing University (CN)
Publication Details
- Journal
- Progress in Orthodontics
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1186/s40510-025-00584-0
- Primary Topic
- Orthodontics and Dentofacial Orthopedics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Nanjing University
- Southeast University