System uses plain lumbar anteroposterior X-ray image<\/p>\n<\/h3>\n
By Lori Solomon HealthDay Reporter<\/b>
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WEDNESDAY, July 16, 2025 (HealthDay News) — An artificial intelligence (AI)-assisted diagnostic system can accurately estimate bone mineral density (BMD) and classify osteoporosis category, according to a study published online July 9 in the Journal of Orthopaedic Research<\/em>.<\/p>\n Toru Moro, M.D., Ph.D., from the University of Tokyo, and colleagues developed an AI-assisted diagnostic system that estimated lumbar spine and femoral BMD from anteroposterior lumbar X-ray images (1,454 images from 1,454 participants).<\/p>\n The researchers found that for the BMD estimation performance, the mean absolute errors were 0.076\u2009g\/cm2<\/sup> for the lumbar spine and 0.071\u2009g\/cm2<\/sup> for the femur between dual-energy X-ray absorptiometry-derived and AI-estimated BMD values. For the lumbar spine and femur of patients with osteopenia, performance showed a sensitivity of 86.4 and 80.4 percent, respectively, and specificities of 84.1 and 76.3 percent, respectively.<\/p>\n “Bone mineral density measurement is essential for screening and diagnosing osteoporosis, but limited access to diagnostic equipment means that millions of people worldwide may remain undiagnosed,” Moro said in a statement. “This AI system has the potential to transform routine clinical X-rays into a powerful tool for opportunistic screening, enabling earlier, broader, and more efficient detection of osteoporosis.”<\/p>\n Several authors disclosed ties to the KYOCERA Corporation.<\/p>\n