Morphological comparison between artificial intelligence-driven and manual CAD design in single tooth restoration: a preliminary study
These findings validate AI's viability for routine restoration design but emphasize the necessity of case selection protocols and algorithm improvements for dynamic occlusion modeling to ensure comprehensive clinical adoption.
Authors
- Xiaodong He (ORCID: https://orcid.org/0000-0002-6682-2926)
- Shixian Guo (ORCID: https://orcid.org/0009-0004-0542-8281)
- Li Hu (ORCID: https://orcid.org/0000-0001-6217-9710)
- Jun-lan Chen
- Yuan‐ming Geng (ORCID: https://orcid.org/0000-0001-5393-1675)
- Wei Li (ORCID: https://orcid.org/0000-0002-7973-6242)
- Xiaoqing Shen
- Jing Zhang (ORCID: https://orcid.org/0000-0003-1411-858X)
- Bowen Xie (ORCID: https://orcid.org/0000-0003-2476-0357)
Institutions
- Zhongshan People's Hospital (CN)
- Zhujiang Hospital (CN)
- Dongguan People’s Hospital (CN)
- Zhongshan Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2025-10-17
- DOI
- https://doi.org/10.1186/s12903-025-07004-z
- Citations
- 1
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.79
Funders
- Guangdong Medical Research Foundation