Geriatrics

Alzheimer's Disease

Latest AI and machine learning research in alzheimer's disease for healthcare professionals.

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 2437-2457 of 12,142 articles
Evaluating a Locally Deployed 20-Billion Parameter Large Language Model for Automated Abstract Screening in Systematic Reviews

Abstract Background: Systematic reviews (SRs) are essential for evidence-based medicine but require ...

Multi-Omics Integration of Transcriptomics and Metabolomics with Machine Learning Uncovers Novel Risk Factors for Alzheimer's disease

Background: Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive decl...

MIRAGE: Knowledge Graph-Guided Cross-Cohort MRI Synthesis for Alzheimer's Disease Prediction

Reliable Alzheimer's disease (AD) diagnosis increasingly relies on multimodal assessments combining ...

The Combinatorial Capacity and Robustness of Hierarchical Concept Coding in the Human Medial Temporal Lobe

The human brain encodes a virtually infinite repertoire of semantic concepts using a finite number o...

DOCFORGE-BENCH: A Comprehensive Benchmark for Document Forgery Detection and Analysis

We present DOCFORGE-BENCH, the first unified zero-shot benchmark for document forgery detection, eva...

Align-cDAE: Alzheimer's Disease Progression Modeling with Attention-Aligned Conditional Diffusion Auto-Encoder

Generative AI framework-based modeling and prediction of longitudinal human brain images offer an ef...

MINT: Multimodal Imaging-to-Speech Knowledge Transfer for Early Alzheimer's Screening

Alzheimer's disease is a progressive neurodegenerative disorder in which mild cognitive impairment (...

DisQ-HNet: A Disentangled Quantized Half-UNet for Interpretable Multimodal Image Synthesis Applications to Tau-PET Synthesis from T1 and FLAIR MRI

Tau positron emission tomography (tau-PET) provides an in vivo marker of Alzheimer's disease patholo...

Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data

Disease progression modeling provides a robust framework to identify long-term disease trajectories ...

RelA-Diffusion: Relativistic Adversarial Diffusion for Multi-Tracer PET Synthesis from Multi-Sequence MRI

Multi-tracer positron emission tomography (PET) provides critical insights into diverse neuropatholo...

EMAD: Evidence-Centric Grounded Multimodal Diagnosis for Alzheimer's Disease

Deep learning models for medical image analysis often act as black boxes, seldom aligning with clini...

Balanced deep learning on multi-omics networks identifies molecular subgroups of pathological brain aging

Abstract Background Neurodegenerative diseases, including Alzheimer's disease (AD), exhibit substant...

Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer's and Lewy Body Dementia Diagnosis

Alzheimer's disease (AD) and Lewy body dementia (LBD) present overlapping clinical features yet requ...

HyPCA-Net: Advancing Multimodal Fusion in Medical Image Analysis

Multimodal fusion frameworks, which integrate diverse medical imaging modalities (e.g., MRI, CT), ha...

Natural Language Processing Analysis of Australian Health Practitioner Disciplinary Tribunal Decisions, 1999-2026

Background: Australian health practitioners are regulated under the Health Practitioner Regulation N...

MRC-GAT: A Meta-Relational Copula-Based Graph Attention Network for Interpretable Multimodal Alzheimer's Disease Diagnosis

Alzheimer's disease (AD) is a progressive neurodegenerative condition necessitating early and precis...

Calmodulin controls spatial and temporal specificity of calcium-induced calcium release

Calcium dynamics controls learning and memory. Changes in calcium-induced calcium release (CICR), wh...

Treatment Effects of Cholinesterase Inhibitors in Alzheimer's Disease: a Causal Machine Learning Approach

INTRODUCTION: Treatment response in Alzheimer's disease (AD) varies substantially across patients, y...

Development and validation of neurological health score using machine learning algorithms

Neurological health score (NHS), indicating the health of brain and nervous system, helps in identif...

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