A data-driven method for surgeon-specific difficulty assessment in third molar extraction
We propose a data-driven decoupling-prediction model, which improves the model's performance in the task of assessing dental surgery difficulty. We also draw the learning curve of novice surgeons based on the data decoupling method we proposed. This provides a new perspective for surgical difficulty assessment and surgeon training, and offers a reliable conclusion.
Authors
- Zi‐Yu Yan (ORCID: https://orcid.org/0000-0002-8486-867X)
- Zhilong Mi (ORCID: https://orcid.org/0000-0002-7811-7204)
- Xiang Xiong (ORCID: https://orcid.org/0000-0001-9676-6884)
- Chunsheng Kang (ORCID: https://orcid.org/0000-0002-3255-3369)
- Ziqiao Yin (ORCID: https://orcid.org/0000-0003-4340-5414)
- Bin‐Zhang Wu (ORCID: https://orcid.org/0000-0002-8627-0153)
- Nian‐Hui Cui (ORCID: https://orcid.org/0000-0003-0642-5942)
- Binghui Guo (ORCID: https://orcid.org/0000-0002-0540-3779)
- Fei Wang (ORCID: https://orcid.org/0000-0002-6474-133X)
Institutions
- Zhejiang International Studies University (CN)
- Peking University (CN)
- National Clinical Research Center for Digestive Diseases (CN)
- National Clinical Research (US)
- Beijing Advanced Sciences and Innovation Center (CN)
- Beihang University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-11-07
- DOI
- https://doi.org/10.3389/fmed.2025.1654727
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Science and Technology Major Project