Abdominal aortic calcification is one of the earliest indicators of atherosclerotic calcification and is vital in predicting ...

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

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

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.

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

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

More information: Cassandra Smith et al, Automated abdominal aortic calcification and major adverse cardiovascular events in people undergoing osteoporosis screening: the Manitoba Bone Mineral ...

In a breakthrough for preventive healthcare, researchers from Australia and Canada have developed an advanced machine learning algorithm that can rapidly detect heart disease and fracture risks using ...

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

The automated system analyses vertebral fracture assessment (VFA) images to detect abdominal aortic calcification (AAC) -- a key marker linked to heart attacks, strokes, and falls. Traditionally ...