An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the ...

ECU and Manitoba's machine learning innovation identifies heart disease risks using bone scans. Enhances early diagnosis for millions globally, revolutionising osteoporosis screenings.

Researchers in Australia and Canada have developed a machine learning algorithm capable of identifying cardiovascular risks, ...

Swiss researchers use DXA data and machine learning to predict fracture risk in women, with logistic regression delivering ...

You can break a vertebra in your 60s or your 70s or beyond. And a vertebral fracture, yes, many of them kind of don't get diagnosed, but often, they are painful, not all of them, when they occur.

The following is a summary of “Risk Factors of Neurologic Deficit after Thoracolumbar Burst Fracture,” published in the April ...

Adults with mild autonomous cortisol secretion show a significant reduction in vertebral fracture risk following ...

Total hip BMD increases were associated with reduced risk for vertebral and all clinical fractures across active control or sequential therapy trials.

An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing.

The automated system analyses vertebral fracture assessment (VFA ... five to six minutes per image by a trained expert. The new algorithm slashes that time to under a minute for thousands of ...

When applying the algorithm to vertebral fracture assessment (VFA) images taken in older women during routine bone density testing, often as part of treatment plans for osteoporosis, the patient ...