Abstract
Establishing an association between cognitive status and either disease- or age-related neuronal loss reflected by MRI may have a diagnostic value. Deep Learning (DL) is an AI technique that allows for the discovery of such an association by building models that can predict cognitive performance from the brain structure. The relationship between the brain structure and its functioning may have patterns specific for preserved versus impaired cognition. The models trained on healthy populations will not predict cognitive status accurately in cognitively impaired individuals.
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