Using MRI scans to determine brain age has been a very time consuming process. Now, the AI ​​machine only takes a few seconds to complete the test. Human cognitive ability declines with age. Neuroscientists have long discovered that this decline is related to changes in brain anatomy. There is no doubt that brain MRI images do not indicate signs of aging, let alone determine "brain age." Differences between brain age and chronological age can reveal the onset of conditions such as dementia. Get accurate brain age data in seconds However, MRI image analysis is a lengthy process because MRI data must be processed extensively to be used to analyze natural aging. Pre-processing involves removing non-brain tissue such as skulls from the image; distinguishing between white matter, gray matter, and other tissues; and removing image artifacts and various data smoothing techniques. All of this data can be processed for more than 24 hours, making it difficult for doctors to incorporate the patient's brain age into clinical diagnosis. All of this is due to Giovanni Montana and his team's research at King's College London. The team is using raw data from MRI scanners to train deep learning machines to measure brain age. With deep learning techniques, clinicians can get accurate brain age data in seconds. Sometimes the patient has not withdrawn from the scanner and the results are coming out. The method is based on a standard deep learning technique. In the process of training the deep learning machine, Montana used MRI brain scan images of more than 2,000 normal people. These people are between the ages of 18 and 90 and do not have any neurological diseases that may affect the age of the brain. So their brain age should match their chronological age.
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