The Effectiveness of Artificial Intelligence-based Pedicle Screw Trajectory Planning in Patients With Different Levels of Bone Mineral Density
AI unicortical screw trajectory planning for lumbar surgery in patients with BMD of 40-120 mg/cm 3 can significantly improve screw POF and reduce the risk of screw pullout.
Authors
- William W. Lu (ORCID: https://orcid.org/0000-0002-5780-2886)
- Huan Qi
- Shan-Hu Huang (ORCID: https://orcid.org/0000-0002-6977-4069)
- Zhili Liu (ORCID: https://orcid.org/0000-0001-7172-6309)
- Xu Xiong
- Ning Zhang
- Kedi Yang
- Jiaming Liu (ORCID: https://orcid.org/0000-0001-8444-9136)
Institutions
- Nanchang University (CN)
- Chinese University of Hong Kong (HK)
- First Affiliated Hospital of Jiangxi Medical College (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- First Affiliated Hospital of Nanchang University (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- Clinical Spine Surgery A Spine Publication
- Published
- 2024-09-03
- DOI
- https://doi.org/10.1097/bsd.0000000000001687
- Citations
- 3
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.55