Researchers from the School of Biomedical Engineering & Imaging Sciences have developed a new machine learning tool that analyses brain MRIs and predicts the age of a brain compared to the rest of the population. Essentially a screening tool, it automatically detects older-appearing brains in real-time using routine clinical scans.
Published in Neuroimage, the research shows that as part of a natural process, brains lose volume with age and as long as the volume loss is appropriate for the patient’s age, the new tool will predict the correct age of the patient.
But if a patient has a brain which is diseased and has lost a…
