Automatic detection of optic canal fractures and recognition and segmentation of anatomical structures in the orbital apex based on artificial intelligence
This study developed an AI-based system for the diagnosis and treatment of optic canal fractures. The system not only enhanced diagnostic accuracy and reduced surgical collateral damage but also laid a solid foundation for the continuous development of future intelligent surgical robots and advanced smart healthcare systems.
Authors
- Yu-Hao Li
- Guangyu Li (ORCID: https://orcid.org/0000-0001-5172-9676)
- Minchen Wei (ORCID: https://orcid.org/0000-0002-0045-3160)
- Yulin Li (ORCID: https://orcid.org/0000-0002-2790-1226)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- First Bethune Hospital of Jilin University (CN)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2025-05-30
- DOI
- https://doi.org/10.3389/fcell.2025.1609028
- Primary Topic
- Facial Trauma and Fracture Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China