Investigators have developed a man-made intelligence-assisted diagnostic system that may estimate bone mineral density in each the lumbar backbone and the femur of the higher leg, primarily based on X-ray photographs. The advance is described in a examine printed within the Journal of Orthopaedic Analysis.
A complete of 1,454 X-ray photographs have been analyzed utilizing the scientists’ system. Efficiency charges for the lumbar and femur of sufferers with bone density loss, or osteopenia, have been 86.4% and 84.1%, respectively, by way of sensitivity.
The respective specificities have been 80.4% and 76.3%. (Sensitivity mirrored the flexibility of the take a look at to accurately determine folks with osteopenia, whereas specificity mirrored its skill to accurately determine these with out osteopenia). The take a look at additionally had excessive sensitivity and specificity for categorizing sufferers with and with out osteoporosis.
“Bone mineral density measurement is important for screening and diagnosing osteoporosis, however restricted entry to diagnostic gear implies that tens of millions of individuals worldwide might stay undiagnosed,” stated corresponding writer Toru Moro, MD, Ph.D., of the College of Tokyo.
“This AI system has the potential to remodel routine scientific X-rays into a strong instrument for opportunistic screening, enabling earlier, broader, and extra environment friendly detection of osteoporosis.”
Extra info:
Improvement of synthetic intelligence-assisted lumbar and femoral BMD estimation system utilizing anteroposterior lumbar X-ray photographs, Journal of Orthopaedic Analysis (2025). DOI: 10.1002/jor.70000
Quotation:
AI–primarily based take a look at detects early indicators of osteoporosis from X-ray photographs (2025, July 9)
retrieved 9 July 2025
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