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AL24 News
Retinal scans for aging speed assessment
A recent study from Seoul University in South Korea has shown that analyzing retinal images using artificial intelligence techniques can provide a non-invasive and rapid method for estimating individuals' biological aging speed. The study relied on a technique called "Retinal Age Gap," which compares a person's chronological age with a biomarker derived from retinal images to identify differences associated with the rate of aging. The results demonstrated that the model could estimate age with an average error ranging from 2.5 to 2.7 years. The study also linked higher aging indicators to health factors such as diabetes and smoking, suggesting that this technology could be useful at the population level for monitoring aging patterns, although further validation of its long-term accuracy is still needed.
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