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AI accurately estimates biological age from chest X-rays, outperforming DNA tests in predicting heart and lung aging.
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.
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.
The approach may enable earlier detection of age-related diseases, offering a non-invasive, scalable tool for preventive medicine and personalized healthcare.
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La IA estima con precisión la edad biológica a partir de radiografías de tórax, superando las pruebas de ADN en la predicción del envejecimiento del corazón y los pulmones.