This paper is in the following e-collection/theme issue:

Imaging Informatics (309) Precision Medicine (170) Digital Pain Assessment and Management (237) Decision Support for Health Professionals (1568) Machine Learning (2129) Immunology, Allergy, Rheumatology (146) Digital Biomarkers and Digital Phenotyping (297)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78338, first published .
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

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

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

Authors of this article:

Yingwei Sun1 Author Orcid Image ;   Jing Liu2 Author Orcid Image ;   Chunbo Deng3 Author Orcid Image ;   Chengbao Peng2 Author Orcid Image ;   Shinong Pan4 Author Orcid Image ;   Xueyong Liu5 Author Orcid Image
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