Back to search

Article

An Integrative Multimodal Model for Early Diagnosis of Dementia and Differential Diagnosis of Alzheimer’s Disease Using Neuroimaging, Polygenic Risk, and Cognitive Assessments

2026-08-03

Abstract excerpt

<h4>Background</h4> Early diagnosis and etiological classification of dementia remain challenging, as clinicians typically lack tools to integrate cognitive, neuroimaging, and genetic data quantitatively. We developed and validated multimodal risk models to support early diagnosis of dementia and differential diagnosis of Alzheimer’s disease (AD) versus non-AD dementias in real-world clinical settings and transla...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1ed04707-38aa-5acf-a98c-6a79053ab6fc
DOI
10.64898/2026.07.31.26359317
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
An Integrative Multimodal Model for Early Diagnosis of Dementia and Differential Diagnosis of Alzheimer’s Disease Using Neuroimaging, Polygenic Risk, and Cognitive AssessmentsDOI 10.64898/2026.07.31.26359317
Select a neighboring publication to make it the new centre.