Neurology

Dementia

Latest AI and machine learning research in dementia for healthcare professionals.

8,996 articles
Stay Ahead - Weekly Dementia research updates
Subscribe
Browse Categories
Showing 2017-2037 of 8,996 articles
Multimodal normative modeling in Alzheimers Disease with introspective variational autoencoders

Normative modeling learns a healthy reference distribution and quantifies subject-specific deviation...

Altered Baseline Brain Network Topology in High-Risk Individuals Progressing to Mild Cognitive Impairment

Background: Identifying early brain-based markers of cognitive decline is critical for preventive st...

Single-cell machine learning uncovers genetically anchored, cell-type specific programs of Alzheimer's disease

Aging and genetic risk shape the molecular programs that confer cellular vulnerability in Alzheimer'...

A quasi-experimental study comparing a VR, computer-based, and face-to-face Alzheimer's embodiment education scenario, "Beatriz".

BACKGROUND AND OBJECTIVES: Effective education on Alzheimer's disease (AD) requires methods fosterin...

Feb 2026 41269127
Selectively Augmented Decision Tree for Explainable Dementia Detection

Timely and accurate diagnosis of dementia remains a critical yet challenging task. Although machine ...

APOE ε4 defines a systemic immune endophenotype independent of clinical trajectory in amyotrophic lateral sclerosis

Background: Amyotrophic lateral sclerosis (ALS) is clinically heterogeneous, and genetic modifiers m...

ExSEnt for explainable dementia detection: disentangling temporal and amplitude-driven complexity boosts EEG-based classification

Early detection of dementia enables timely intervention and better care planning. Electroencephalogr...

G2DBridge: A Multimodal Framework Linking Genetics to Disease through Imaging Intermediates

Genetic-based risk prediction is becoming increasingly available for a wide range of common diseases...

Hybrid Topological and Deep Feature Fusion for Accurate MRI-Based Alzheimer's Disease Severity Classification

Early and accurate diagnosis of Alzheimer's disease (AD) remains a critical challenge in neuroimagin...

LLM-Based Annotation and Token-Augmented Modeling for Emotional Tone Classification in Online Cancer Peer-Support Posts

Online cancer peer-support communities generate large volumes of patient-authored and caregiver-auth...

Determinants of Digital Health Technology Acceptance Among Healthcare Caregivers: A Structural Equation Modeling Approach

Background: Digital health technologies, including artificial intelligence (AI)-powered tools and vi...

miRNA-mRNA Interaction Network Analysis in Alzheimer's Disease for Biomarker Discovery

Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by widespread dysregu...

Multimodal Visual Surrogate Compression for Alzheimer's Disease Classification

High-dimensional structural MRI (sMRI) images are widely used for Alzheimer's Disease (AD) diagnosis...

Feature Integration of FDG PET Brain Imaging Using Deep Learning for Sensitive Cognitive Decline Detection

Background Distinguishing individuals with cognitive decline (CD), including early Alzheimers diseas...

An explainable framework for the relationship between dementia and glucose metabolism patterns

High-dimensional neuroimaging data presents challenges for assessing neurodegenerative diseases due ...

Cortex-Grounded Diffusion Models for Brain Image Generation

Synthetic neuroimaging data can mitigate critical limitations of real-world datasets, including the ...

Early Dementia Diagnosis in Older Adults through Machine Learning: A Cross-Sectional fMRI Data Analysis

Background: Early diagnosis of dementia can significantly improve care planning and patient outcomes...

A retrieval-augmented generation large language model framework for accurate dementia identification from electronic health records

Objective Accurate and scalable disease phenotyping from electronic health records (EHRs) is foundat...

A Cautionary Tale of Self-Supervised Learning for Imaging Biomarkers: Alzheimer's Disease Case Study

Discovery of sensitive and biologically grounded biomarkers is essential for early detection and mon...

Integrating Acoustic, Prosodic, and Phonological Features for Automatic Alzheimer's Detection

Early and accurate diagnosis of Alzheimer's Disease (AD) is critical for effective intervention. Whi...

Browse Categories