Radiomics, AI identifies osteoporosis on lumbar spine CT


Researchers from Shanghai Jiao Tong University in Shanghai, China, developed a predictive model based on radiomics analysis and machine-learning algorithms. In testing, the best-performing model yielded an area under the curve (AUC) of 0.994 for differentiating normal bone density and osteoporosis on lumbar spine CT.


“The excellent performance of this radiomic model indicates that lumbar spine CT images can effectively be used to identify osteoporosis and as a tool for opportunistic osteoporosis screening,” the authors wrote.


Bone mineral density is most commonly assessed on…



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