New machine algorithm could identify cardiovascular risk at the click of a button

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 incidents or fall and fracture risks based on bone density scans taken during routine clinical testing.

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’s…

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News Source: www.sciencedaily.com

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