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Newly developed deep learning model shows promise in detecting 'osteoporosis': Study

Osteoporosis is a bone disease that occurs when bone mineral density and mass decrease or when bone structure and strength change. This can cause a decrease in bone strength, increasing the risk of fractures (broken bones)

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Image for representational purpose only. Photo Courtesy: istock

Image for representational purpose only. Photo Courtesy: istock

Researchers have developed a new deep learning algorithm that outperformed existing computer-based 'osteoporosis' risk prediction methods, potentially leading to earlier diagnoses and better outcomes for patients with osteoporosis risk, a new study has shown. 

Osteoporosis is a bone disease that occurs when bone mineral density and mass decrease or when bone structure and strength change. This can cause a decrease in bone strength, increasing the risk of fractures (broken bones).

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