Artificial intelligence model that can measure how fast the brain ages

As artificial intelligence models developed, their areas of use also became more widespread. Science was one of them. Now, researchers from the University of Southern California in the USA have developed an artificial intelligence model that can detect how quickly our brains age.

The model, described as the first of its kind, could be used to prevent and treat conditions such as dementia by measuring the rate at which people's brains age. The study was published in the journal Proceedings of the National Academy on February 24.

According to Webtekno, it uses MRI scans to make much more accurate measurements than traditional methods. The vehicle analyzes data using magnetic resonance imaging (MRI) scans. In this way, it can track the speed of changes in the brain and determine the rate at which a person's brain ages.

According to the researchers, the brain's acceleration age is proportional to the risk of cognitive impairment. That's why such a model is so important. "This is a method that could completely change the way we monitor brain health, both in the research lab and in clinics. Knowing how fast someone's brain is aging could be very useful," said one of the authors, Associate Professor Andrei Irima.

A person's biological age and chronological age can differ from each other. For this reason, rapid aging of the brain can cause diseases to occur earlier than your normal age. According to researchers, the aim of the new model is to prevent this.

The model was trained on more than 3,000 MRI scans collected from cognitively normal adults. Unlike traditional measurement methods, it uses a method called “longitudinal,” analyzing and comparing baseline and follow-up MRI scans from the same individual, allowing it to more accurately predict the rate of aging. It was also found to be accurate in tests conducted on 104 healthy individuals and 140 Alzheimer’s patients.