通过测量常规扫描中的脂肪, AI 可以提高心脏病风险预测. AI improves heart disease risk prediction by measuring fat on routine scans.

梅奥诊所的一项新研究显示,使用人工智能测量常规扫描中的心脏脂肪可显著改善长期心血管疾病风险的预测. A new Mayo Clinic study shows using artificial intelligence to measure heart fat on routine scans significantly improves the prediction of long-term cardiovascular disease risk. 这种方法在16年内对近12,000名成年人进行了测试,发现心周脂肪的测量提高了现有的风险评估,特别是对于那些被认为低或中等风险的人. The method, applied to nearly 12,000 adults over 16 years, found that measuring pericardial fat enhanced existing risk assessments, especially for those considered low or intermediate risk. 研究人员表示,这种方法提供了一种实用且可扩展的方法,可以更早地识别有风险的人并指导预防而不需要额外的成像或成本. Researchers say this approach offers a practical, scalable way to identify at-risk individuals earlier and guide prevention without requiring additional imaging or cost.