使用乳房X线造影和年龄的新人工智能工具与传统方法一样准确地预测妇女的心脏病发作或中风风险。 A new AI tool using mammograms and age predicts women's heart attack or stroke risk as accurately as traditional methods.

乔治全球健康研究所和澳大利亚大学的研究人员开发了一个机器学习模型,利用乳房X光照片和年龄来预测妇女心脏病发作或中风。 Researchers at The George Institute for Global Health and Australian universities have developed a machine learning model that uses mammogram images and age to predict heart attacks or strokes in women. 在《心》中公布的深层次学习算法与传统风险计算器的准确性相匹配,可提供一个可扩缩、可使用的工具,用于评估全球心血管风险,特别是在服务不足的地区。 The deep learning algorithm, published in Heart, matches the accuracy of traditional risk calculators and could offer a scalable, accessible tool for assessing cardiovascular risk globally, especially in underserved areas.