Alzheimer's Disease - Page 130 | AI Medical Compendium

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Geriatrics Subcategories: Alzheimer's Disease Medicare

Showing 2710-2730 of 12,142 articles

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...

(1)

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...

(1)

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...

(1)

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

Deep Learning for Early Alzheimer Disease Detection with MRI Scans

Alzheimer's Disease is a neurodegenerative condition characterized by dementia and impairment in n...

Jan 2025 http://arxiv.org/abs/2501.09999v1

Detection of Vascular Leukoencephalopathy in CT Images

Artificial intelligence (AI) has seen a significant surge in popularity, particularly in its appli...

Jan 2025 http://arxiv.org/abs/2501.09863v1

On the challenges of detecting MCI using EEG in the wild

Recent studies have shown promising results in the detection of Mild Cognitive Impairment (MCI) us...

Jan 2025 http://arxiv.org/abs/2501.17871v1

COX-2 Inhibitor Prediction With KNIME: A Codeless Automated Machine Learning-Based Virtual Screening Workflow.

Cyclooxygenase-2 (COX-2) is an enzyme that plays a crucial role in inflammation by converting arachi...

Jan 2025 39797538

Head Motion Degrades Machine Learning Classification of Alzheimer's Disease from Positron Emission Tomography

Brain positron emission tomography (PET) imaging is broadly used in research and clinical routines...

(3)

Jan 2025 http://arxiv.org/abs/2501.08459v1

Combining imaging and shape features for prediction tasks of Alzheimer's disease classification and brain age regression

We investigate combining imaging and shape features extracted from MRI for the clinically relevant...

Jan 2025 http://arxiv.org/abs/2501.07994v1

PROTECT: Protein circadian time prediction using unsupervised learning

Circadian rhythms regulate the physiology and behavior of humans and animals. Despite advancements...

(1)

Jan 2025 http://arxiv.org/abs/2501.07405v1

MRI Patterns of the Hippocampus and Amygdala for Predicting Stages of Alzheimer's Progression: A Minimal Feature Machine Learning Framework

Alzheimer's disease (AD) progresses through distinct stages, from early mild cognitive impairment ...

Jan 2025 http://arxiv.org/abs/2501.05852v1

CognoSpeak: an automatic, remote assessment of early cognitive decline in real-world conversational speech

The early signs of cognitive decline are often noticeable in conversational speech, and identifyin...

Jan 2025 http://arxiv.org/abs/2501.05755v1

Motif Discovery Framework for Psychiatric EEG Data Classification

In current medical practice, patients undergoing depression treatment must wait four to six weeks ...

Jan 2025 http://arxiv.org/abs/2501.04441v1

Identification of CXCR4 inhibitory activity in natural compounds using cheminformatics-guided machine learning algorithms.

Neurodegenerative disorders are characterised by progressive damage to neurons that leads to cogniti...

(1)

Jan 2025 39985292

Gaze Behavior During a Long-Term, In-Home, Social Robot Intervention for Children with ASD

Atypical gaze behavior is a diagnostic hallmark of Autism Spectrum Disorder (ASD), playing a subst...

Jan 2025 http://arxiv.org/abs/2501.02583v1