Preclinical Investigation of Artificial Intelligence‐Assisted Implant Surgery Planning for Single Tooth Defects: A Case Series Study
This study highlights the promising role of AI in enhancing the precision and efficiency of dental implant surgery planning for single tooth defects. Further studies are necessary to validate the effectiveness and safety of AI-assisted planning in a larger patient population.
Authors
- Hongyang Ma (ORCID: https://orcid.org/0000-0003-1645-312X)
- Zineng Xu
- Hailong Bai (ORCID: https://orcid.org/0000-0003-3488-4492)
- Xuliang Deng (ORCID: https://orcid.org/0000-0003-1838-6274)
- Peng Ding (ORCID: https://orcid.org/0000-0003-4419-4858)
- Yu-Wei Wu (ORCID: https://orcid.org/0000-0003-1478-5526)
- Zhihui Tang (ORCID: https://orcid.org/0000-0002-5004-738X)
Institutions
- King University (US)
- Peking University (CN)
- MemorialCare Health System (US)
- Beijing Haidian Hospital (CN)
Publication Details
- Journal
- Journal of Oral Rehabilitation
- Published
- 2025-06-12
- DOI
- https://doi.org/10.1111/joor.14009
- Citations
- 3
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 5.37
Funders
- National Science Foundation
- National Natural Science Foundation of China
- Peking University