New Machine Algorithm Can Track Fracture Risks

Sydney: Australian and Canadian researchers have developed a cutting-edge machine learning algorithm capable of rapidly identifying heart disease and fracture risks using routine bone density scans.

The innovation, developed by researchers from Australia's Edith Cowan University (ECU) in conjunction with Canada's University of Manitoba, could pave the way for more comprehensive and earlier diagnoses during routine osteoporosis screenings, improving outcomes for millions of older adults, Xinhua news agency reported.