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- W4367310376 abstract "Purpose: Knee osteoarthritis (OA) pain scores only moderately correlate with conventional radiographic findings—likely because pain has a multifactorial etiology. Ultrasound (US) can capture soft tissue structures which are known to be involved in pain pathophysiology but may not be visible in knee radiographs. Importantly, US is a cost-effective and portable imaging technology that can be performed at the point of care by non-radiologists. Therefore, US may have utility in understanding variance in pain attributed to knee OA. Our objective was to demonstrate if adding US features to computer vision analysis of radiographic images improves machine learning-based prediction of Knee injury and Osteoarthritis Outcome Score (KOOS) Pain scores in knee OA." @default.
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- W4367310376 date "2023-05-01" @default.
- W4367310376 modified "2023-09-27" @default.
- W4367310376 title "Ultrasonography may improve osteoarthritis pain prediction: an artificial intelligence approach" @default.
- W4367310376 doi "https://doi.org/10.1016/j.joca.2023.02.013" @default.
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