Study on the Evaluation of Hip Dysplasia by Measuring the Lateral Center-Edge Angle of Hip Joint on X-Ray Using Deep Learning Algorithm

The deep learning algorithm for measuring bilateral hip LCEA on X-rays has good efficacy in diagnosing hip dysplasia, with an AUC of up to 0.917.

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Publication Details

Journal
International Journal of General Medicine
Published
2025-08-01
DOI
https://doi.org/10.2147/ijgm.s533748
Primary Topic
Hip disorders and treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Study on the Evaluation of Hip Dysplasia by Measuring the Lateral Center-Edge Angle of Hip Joint on X-Ray Using Deep Learning Algorithm

Xiao Wang, Zisheng Ai
1 links
International Journal of General Medicine
Hip disorders and treatments
article

Study on the Evaluation of Hip Dysplasia by Measuring the Lateral Center-Edge Angle of Hip Joint on X-Ray Using Deep Learning Algorithm

Xiao Wang, Zisheng Ai
article en

Abstract

The deep learning algorithm for measuring bilateral hip LCEA on X-rays has good efficacy in diagnosing hip dysplasia, with an AUC of up to 0.917.

International Journal of General MedicineVol. Volume 18
Tongji University (CN)
Openalex Percentile: Top 65%
Hip disorders and treatments
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Study on the Evaluation of Hip Dysplasia by Measuring the Lateral Center-Edge Angle of Hip Joint on X-Ray Using Deep Learning Algorithm — Xiao Wang, Zisheng Ai · International Journal of General Medicine (2025) | TGRS Research Map | TGRS