Multimodal approach predicts osteoporosis risk in clinical settings, suggesting applications for screening without DEXA scans.
The multimodal approach combining deep learning-derived radiographic features with clinical parameters demonstrates promising results for osteoporosis screening. This methodology offers potential for implementation in resource-limited settings where DEXA scans are unavailable.
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Mukhopadhyay et al. (2026) studied this question.
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