Predicting long-term progression of Alzheimer's disease using a multimodal deep learning model incorporating interaction effects.

The proposed deep learning model presents a novel perspective by combining interaction effects and multimodality, leading to more accurate and longer-term predictions of AD progression, which promises to improve pre-dementia patient care.