AI Estimates Retinal Age, Revealing Sex-Specific Aging Patterns and Links to Disease Risk
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4 Articles
AI estimates retinal age, revealing sex-specific aging patterns and links to disease risk
A team from the Department of Computational Biology at the University of Lausanne has developed an artificial intelligence model capable of estimating a person's retinal age from a simple photograph of the back of the eye. This measure provides information about health and the future risk of developing age-related diseases.
Swiss researchers have developed an AI that uses the retina to determine biological age and predict disease risks. Smoking is the strongest ageing factor.
A new artificial intelligence (AI) of the University of Lausanne can use retinal photos to read the biological age of a person and to estimate the risk of diseases such as cancer or dementia. A large difference in such a certain age indicates increased health risks, as the University announced on Wednesday. A higher retinal age is associated with an increased risk for cardiovascular and respiratory diseases, cancer and dementia.
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