Abstract
Chronological age can differ from biological age, particularly in Alzheimer's disease (AD) and related neurodegenerative disorders. By training models with structural and functional brain imaging data obtained serially over time, deep learning artificial intelligence can estimate the brain age gap—the difference between chronological age and predicted age.
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