The Geneva-based Medimaps group has developed a spine segmentation (SpS) deep learning algorithm, which can enhance and improve the diagnosis and monitoring of osteoporosis.
To test the algorithm, the researchers selected 130 women from the OsteoLaus population cohort who had two lumbar spine DXA scans 2.5 years apart. The scans were assessed by a manufacturer default method, by the AI-based algorithm and by a clinical expert.
Following further validation tests, the team found that the AI algorithm performed better than the default analysis method for assessing bone mineral density, trabecular bone score (TBS) and surface and at a comparable level to the clinical expert for these measures.
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