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Geriatrics Subcategories: Alzheimer's Disease Medicare

Showing 2101-2121 of 11,315 articles

VisTA: Vision-Text Alignment Model with Contrastive Learning using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis

Objective: Assessing Alzheimer's disease (AD) using high-dimensional radiology images is clinicall...

Feb 2025 http://arxiv.org/abs/2502.01535v1

BrainOOD: Out-of-distribution Generalizable Brain Network Analysis

In neuroscience, identifying distinct patterns linked to neurological disorders, such as Alzheimer...

Feb 2025 http://arxiv.org/abs/2502.01688v1

Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms

Discrete diffusion models have emerged as a powerful generative modeling framework for discrete da...

Feb 2025 http://arxiv.org/abs/2502.00234v1

Sleep efficiency in community-dwelling persons living with dementia: exploratory analysis using machine learning.

STUDY OBJECTIVES: Sleep disturbances lead to negative health outcomes and caregiver burden, particul...

Feb 2025 39484800

Beyond electronic health record data: leveraging natural language processing and machine learning to uncover cognitive insights from patient-nurse verbal communications.

BACKGROUND: Mild cognitive impairment and early-stage dementia significantly impact healthcare utili...

Feb 2025 39667364

A machine learning approach to automate microinfarct and microhemorrhage screening in hematoxylin and eosin-stained human brain tissues.

Microinfarcts and microhemorrhages are characteristic lesions of cerebrovascular disease. Although m...

Feb 2025 39724914

Classification and Pixel Change Detection of Brain Tumor Using Adam Kookaburra Optimization-Based Shepard Convolutional Neural Network.

The uncommon growth of cells in the brain is termed as brain tumor. To identify chronic nerve proble...

Feb 2025 39832921

AggNet: Advancing protein aggregation analysis through deep learning and protein language model.

Protein aggregation is critical to various biological and pathological processes. Besides, it is als...

Feb 2025 39840791

Machine learning prediction of tau-PET in Alzheimer's disease using plasma, MRI, and clinical data.

INTRODUCTION: Tau positron emission tomography (PET) is a reliable neuroimaging technique for assess...

Feb 2025 39985487

ProtoSnap: Prototype Alignment for Cuneiform Signs

The cuneiform writing system served as the medium for transmitting knowledge in the ancient Near E...

Jan 2025 http://arxiv.org/abs/2502.00129v1

Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment

Timely and accurate assessment of cognitive impairment is a major unmet need in populations at ris...

Jan 2025 http://arxiv.org/abs/2501.18731v1

IRONMAP: Iron Network Mapping and Analysis Protocol for Detecting Over-Time Brain Iron Abnormalities in Neurological Disease

Pathologically altered iron levels, detected using iron-sensitive MRI techniques such as quantitat...

Jan 2025 http://arxiv.org/abs/2501.17838v1

Integrating Reinforcement Learning and AI Agents for Adaptive Robotic Interaction and Assistance in Dementia Care

This study explores a novel approach to advancing dementia care by integrating socially assistive ...

Jan 2025 http://arxiv.org/abs/2501.17206v1

Classification of Mild Cognitive Impairment Based on Dynamic Functional Connectivity Using Spatio-Temporal Transformer

Dynamic functional connectivity (dFC) using resting-state functional magnetic resonance imaging (r...

Jan 2025 http://arxiv.org/abs/2501.16409v1

Pfungst and Clever Hans: Identifying the unintended cues in a widely used Alzheimer's disease MRI dataset using explainable deep learning

Backgrounds. Deep neural networks have demonstrated high accuracy in classifying Alzheimer's dis...

Jan 2025 http://arxiv.org/abs/2501.15831v2

Leveraging Video Vision Transformer for Alzheimer's Disease Diagnosis from 3D Brain MRI

Alzheimer's disease (AD) is a neurodegenerative disorder affecting millions worldwide, necessitati...

Jan 2025 http://arxiv.org/abs/2501.15733v1

Analysis of TEM micrographs with deep learning reveals APOE genotype-specific associations between HDL particle diameter and Alzheimer's dementia.

High-density lipoprotein (HDL) particle diameter distribution is informative in the diagnosis of man...

Jan 2025 39874947

Stroke Lesion Segmentation using Multi-Stage Cross-Scale Attention

Precise characterization of stroke lesions from MRI data has immense value in prognosticating clin...

Jan 2025 http://arxiv.org/abs/2501.15423v1

Deep Learning in Early Alzheimer's disease's Detection: A Comprehensive Survey of Classification, Segmentation, and Feature Extraction Methods

Alzheimers disease is a deadly neurological condition, impairing important memory and brain functi...

Jan 2025 http://arxiv.org/abs/2501.15293v4

GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease

Deep learning methods based on Convolutional Neural Networks (CNNs) have shown great potential to ...

Jan 2025 http://arxiv.org/abs/2501.11715v1

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction

Alzheimer's disease (AD) is a common neurodegenerative disease among the elderly. Early prediction...

Jan 2025 http://arxiv.org/abs/2501.11276v1