Intelligent identification of osteoporosis on hip X-rays using vision transformer
The ViT-based deep learning model showed excellent performance in classifying bone mineral density using hip X-rays, with high accuracy and generalizability. Relying on routine X-ray images, this method provides a cost-effective and efficient tool for osteoporosis screening, with strong potential for clinical implementation in primary care settings.
Authors
- Jianjun Chu
- Shuyi Cheng
- Yinyu Qi
- Lu Ren
- Yang Xu
- Kunpeng Liu
- Wei Huang
- Longxu Han
- Pin Pan
- Hanyang Wang
Institutions
- Anhui University (CN)
- Hefei University of Technology (CN)
- Anhui Medical University (CN)
- Anhui Provincial Hospital (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Second Affiliated Hospital of Anhui Medical University (CN)
- Third People's Hospital of Hefei (CN)
Publication Details
- Journal
- Bone Reports
- Published
- 2026-01-16
- DOI
- https://doi.org/10.1016/j.bonr.2026.101898
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 0.00