AI精确估计了胸前X光片的生物年龄,在预测心脏和肺衰老时,DNA检测效果优于检测。 AI accurately estimates biological age from chest X-rays, outperforming DNA tests in predicting heart and lung aging.

一项新的研究显示,人工智能可以通过分析常规胸前X光片、超过传统的DNA方法来预测心肺衰老,从而估计生物年龄。 A new study shows artificial intelligence can estimate biological age by analyzing routine chest X-rays, outperforming traditional DNA-based methods in predicting cardiopulmonary aging. 研究人员利用2 097名成年人的深层学习,开发了一个计算“CXR-Age”的AI模型,这与心脏和肺部的老龄化密切相关,特别是在中年人中。 Using deep learning on 2,097 adults, researchers developed an AI model that calculates "CXR-Age," correlating strongly with aging in the heart and lungs, especially in middle-aged individuals. 这种方法可以及早发现与年龄有关的疾病,为预防医学和个性化保健提供非侵入性、可扩展的工具。 The approach may enable earlier detection of age-related diseases, offering a non-invasive, scalable tool for preventive medicine and personalized healthcare.