Nomograms Based on X-Ray Radiomics for Predicting Pain Progression in Knee Osteoarthritis Using Data From the Foundation for the National Institutes of Health: Development and Validation Study

The nomograms based on x-ray radiomics demonstrated excellent predictive capability and accuracy in forecasting the progression of KOA pain.

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Publication Details

Journal
JMIR Medical Informatics
Published
2026-01-14
DOI
https://doi.org/10.2196/78338
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Nomograms Based on X-Ray Radiomics for Predicting Pain Progression in Knee Osteoarthritis Using Data From the Foundation for the National Institutes of Health: Development and Validation Study

Chunbo Deng, Chengbao Peng, Shinong Pan, Yingwei Sun et al.
JMIR Medical Informatics
Radiomics and Machine Learning in Medical Imaging
article

Nomograms Based on X-Ray Radiomics for Predicting Pain Progression in Knee Osteoarthritis Using Data From the Foundation for the National Institutes of Health: Development and Validation Study

Chunbo Deng, Chengbao Peng, Shinong Pan, Yingwei Sun, Xueyong Liu, Jing Liu
article en

Abstract

The nomograms based on x-ray radiomics demonstrated excellent predictive capability and accuracy in forecasting the progression of KOA pain.

JMIR Medical InformaticsVol. 14
Liaoning University of Traditional Chinese Medicine (CN), Central Hospital Affiliated to Shenyang Medical College (CN), Neusoft (China) (CN), Affiliated Hospital of Liaoning University of Traditional Chinese Medicine (CN), China Medical University (CN)
Reduced inequalities
Openalex Percentile: Top 89%
Radiomics and Machine Learning in Medical Imaging
DOIOpen Access PDFOpenAlex
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