Neuroimaging‐based artificial intelligence for predicting dementia progression in a diverse real‐world memory clinic cohort

Abstract

Background: Existing applications of artificial intelligence for dementia prediction have largely relied on the use of large, curated research datasets for developing and evaluating model performance. Despite reported high accuracies, a significant gap remains in assessing their generalisability to real‐world data.