AI通过发现乳房动脉结晶,发现妇女常规乳房X线X线X光期间的早期心脏病风险,将其与心脏病高发、中风和死亡风险联系起来。 AI detects early heart disease risk in women during routine mammograms by spotting breast artery calcification, linking it to higher heart attack, stroke, and death risks.

根据对123 762名妇女进行的一项大型研究,人工智能通过辨别乳房动脉结晶(硬动脉的标志),可以在常规乳房X线X线X线X线X线X线X线X线X线X线X线X线X线X线X线X线X线X线X线X线X线X线X线中发现妇女早期心脏病风险。 Artificial intelligence can detect early heart disease risk in women during routine mammograms by identifying breast arterial calcification, a sign of hardened arteries, according to a large study of 123,762 women. 研究发现，钙化水平与心脏病发作、中风或死亡风险增加相关——轻度患者高出30%，中度患者超过70%，严重病例高出两到三倍——即使调整了吸烟和糖尿病因素。 The research found that calcification levels correlated with increased risk of heart attack, stroke, or death—30% higher for mild, over 70% for moderate, and two to three times greater for severe cases—even after adjusting for smoking and diabetes. 专家说,将AI纳入现有的乳房X线造影方案可以帮助每年对数以百万计的妇女进行早期、低成本心血管风险评估,帮助解决妇女心脏病诊断不足的问题。 妇女的心脏病死亡率高于男子,但在筛查和治疗中往往被忽视。 Experts say integrating AI into existing mammography programs could enable early, low-cost cardiovascular risk assessment for millions of women annually, helping address the underdiagnosis of heart disease in women, who face higher death rates than men but are often overlooked in screening and treatment.