Article

Forecasting Alzheimer’s Disease Progression with Deep Multimodal Learning: Integration of 3D MRI and Tabular Clinical Records via a Large Vision-Language Model

2026-01-13

Abstract excerpt

<h4>Background</h4> Accurate forecasting of Alzheimer’s Disease (AD) progression is critical for personalized patient management and clinical trial stratification. However, current predictive models often struggle to effectively integrate high-dimensional neuroimaging with longitudinal clinical data. We introduce AD-LLaVA-3D, a novel multimodal framework designed to bridge this gap by adapting large vision-langua...

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Literature Corpus work: 66613cfe-a587-58f4-a4c6-750296795127
DOI: 10.64898/2026.01.06.26343479

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