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.

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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
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article

Intelligent identification of osteoporosis on hip X-rays using vision transformer

Jianjun Chu, Shuyi Cheng, Yinyu Qi, Lu Ren et al.
Bone Reports
Bone health and osteoporosis research
article

Intelligent identification of osteoporosis on hip X-rays using vision transformer

Jianjun Chu, Shuyi Cheng, Yinyu Qi, Lu Ren, Yang Xu, Kunpeng Liu, Wei Huang, Longxu Han, Pin Pan, Hanyang Wang
article en

Abstract

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.

Bone ReportsVol. 28
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)
Openalex Percentile: Top 87%
Bone health and osteoporosis research
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Intelligent identification of osteoporosis on hip X-rays using vision transformer — Jianjun Chu, Shuyi Cheng, et al. · Bone Reports (2026) | TGRS Research Map | TGRS