3D体积扫描仪与AI预测代谢综合症比传统措施更精确地预测代谢综合症的风险。 3D body-volume scanner with AI predicts metabolic syndrome risk more accurately than traditional measures.
Mayo诊所研究人员开发了3D体积扫描仪,并与AI合作,比传统措施(如BMI和腰对臀比率)更准确地预测代谢综合症的风险和严重程度。 Mayo Clinic researchers have developed a 3D body-volume scanner, combined with AI, to predict metabolic syndrome risk and severity more accurately than traditional measures like BMI and waist-to-hip ratio. 该技术由1 280名志愿者测试,可以帮助临床医生识别患有综合症和面临风险的人,有可能防止严重的健康问题,如心脏病、中风、糖尿病、认知或肝病。 The technology, tested on 1,280 volunteers, can help clinicians identify those with the syndrome and at risk, potentially preventing serious health issues such as heart attacks, strokes, diabetes, and cognitive or liver disease.