An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the University of Manitoba has been able to identify potential cardiovascular ...

Australian and Canadian researchers have developed a cutting-edge machine learning algorithm capable of rapidly identifying ...

Having identified two vertebral fractures, columnist Sam Kirton's care team orders a plethora of tests to assess his bone density.

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 ...

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 ...

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.

Australian and Canadian researchers have developed a cutting-edge machine learning algorithm capable of rapidly ...

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 ...