研究人员开发人工智能 快速发现心脏病 和骨骼扫描造成的骨折风险。 Researchers develop AI that quickly spots heart disease and fracture risks from bone scans.

来自澳大利亚伊迪丝·科万大学和加拿大马尼托巴大学的研究人员开发了机器学习算法,通过常规骨密度扫描可识别心脏病和骨折风险。 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. 该算法分析图像以检测腹主动脉钙化，这是心脏病发作、中风和跌倒的关键指标，每张图像不到一分钟，而专家则需要 5 到 6 分钟。 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. 这一创新可导致早期诊断,改善数以百万计的老年人的结果。 This innovation could lead to earlier diagnoses and improved outcomes for millions of older adults.