A deep learning approach to predict the results of root coverage procedures based on intraoral photographs: a retrospective study
The model constructed in this study could accurately predict the results of root coverage procedures, thereby enhance clinicians' clinical decision-making and facilitate doctor-patient communication.
Authors
- Wentao Sun
- Zhongchen Song
- Jiachen Dong (ORCID: https://orcid.org/0000-0002-6476-9180)
- Y. P. Liao (ORCID: https://orcid.org/0000-0003-4665-4870)
- Mengjun Sun
Institutions
- Shanghai Jiao Tong University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- National Clinical Research Center for Digestive Diseases (CN)
- Shanghai Stomatological Hospital (CN)
- Shanghai Ninth People's Hospital (CN)
- China National Building Materials Group (China) (CN)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2025-12-11
- DOI
- https://doi.org/10.1186/s12903-025-07250-1
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Science and Technology Commission of Shanghai Municipality
- Shanghai Jiao Tong University
- Shanghai Hospital Development Center
- School of Medicine, Shanghai Jiao Tong University