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Researchers develop AI that quickly spots heart disease and fracture risks from bone scans.
Researchers from Edith Cowan University in Australia and the University of Manitoba in Canada have developed a machine learning algorithm that can identify heart disease and fracture risks using routine bone density scans.
The algorithm analyzes images to detect abdominal aortic calcification, a key indicator for heart attacks, strokes, and falls, in under a minute per image, compared to five to six minutes by experts.
This innovation could lead to earlier diagnoses and improved outcomes for millions of older adults.
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Los investigadores desarrollan una IA que detecta rápidamente los riesgos de enfermedades cardíacas y fracturas a partir de escáneres de huesos.