Multimodal Interpretable Transformer for AD

By leveraging these diverse datasets and advanced AI models, MINT-AD aims to become a foundation model for Alzheimer's prediction and classification. Designed as a clinical support tool, it will enhance early detection, risk stratification, and intervention planning without replacing standard neuropsychological assessments. At the population level MINT-AD will enable risk mapping across largescale epidemiological variables like education, healthcare access, and environmental exposures, informing public health strategies for targeted AD prevention.