Development and accuracy of an artificial intelligence model for predicting the progression of hip osteoarthritis using plain radiographs and clinical data: a retrospective study

The proposed AI model performed adequately in predicting hip OA progression and may be clinically applicable with additional datasets and validation.

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Publication Details

Journal
BMC Musculoskeletal Disorders
Published
2024-11-08
DOI
https://doi.org/10.1186/s12891-024-08034-4
Citations
6
Primary Topic
Hip disorders and treatments
Type
article
Field-Weighted Citation Impact
3.44
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article

Development and accuracy of an artificial intelligence model for predicting the progression of hip osteoarthritis using plain radiographs and clinical data: a retrospective study

Shu Takeuchi, Yuichi Imoto, Ryo Hidaka, Kenta Matsuda et al.
6 citations
BMC Musculoskeletal Disorders
Hip disorders and treatments
3.44
article

Development and accuracy of an artificial intelligence model for predicting the progression of hip osteoarthritis using plain radiographs and clinical data: a retrospective study

Shu Takeuchi, Yuichi Imoto, Ryo Hidaka, Kenta Matsuda, Satoshi Yagi, Hirotaka Kawano, T Igari
article en
6 citations

Abstract

The proposed AI model performed adequately in predicting hip OA progression and may be clinically applicable with additional datasets and validation.

BMC Musculoskeletal DisordersVol. 25(1)
Fujitsu (Japan) (JP), Teikyo University (JP)
Openalex Percentile: Top 7%
Hip disorders and treatments
3.44
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