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).