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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 2185-2205 of 8,996 articles

Evaluating GPT's Capability in Identifying Stages of Cognitive Impairment from Electronic Health Data

Identifying cognitive impairment within electronic health records (EHRs) is crucial not only for t...

Feb 2025 http://arxiv.org/abs/2502.09715v1

Lifespan tree of brain anatomy: diagnostic values for motor and cognitive neurodegenerative diseases

The differential diagnosis of neurodegenerative diseases, characterized by overlapping symptoms, m...

Feb 2025 http://arxiv.org/abs/2502.09682v1

Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia

In remote healthcare monitoring, time series representation learning reveals critical patient beha...

Feb 2025 http://arxiv.org/abs/2502.09173v1

Choroidal image analysis for OCT image sequences with applications in systemic health

The choroid, a highly vascular layer behind the retina, is an extension of the central nervous sys...

Feb 2025 http://arxiv.org/abs/2502.07117v1

Can ChatGPT Diagnose Alzheimer's Disease?

Can ChatGPT diagnose Alzheimer's Disease (AD)? AD is a devastating neurodegenerative condition tha...

Feb 2025 http://arxiv.org/abs/2502.06907v1

Image-Based Alzheimer's Disease Detection Using Pretrained Convolutional Neural Network Models

Alzheimer's disease is an untreatable, progressive brain disorder that slowly robs people of their...

Feb 2025 http://arxiv.org/abs/2502.05815v1

Explainable and externally validated machine learning for neuropsychiatric diagnosis via electrocardiograms

Electrocardiogram (ECG) analysis has emerged as a promising tool for identifying physiological cha...

Feb 2025 http://arxiv.org/abs/2502.04918v1

DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer's Disease

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease affecting 50 million people ...

Feb 2025 http://arxiv.org/abs/2502.04394v1

Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework

Alzheimer's Disease (AD) early detection is critical for enabling timely intervention and improvin...

Feb 2025 http://arxiv.org/abs/2502.04288v1

Unravelling Causal Genetic Biomarkers of Alzheimer's Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach

Alzheimer's Disease (AD) affects over 55 million people globally, yet the key genetic contributors...

Feb 2025 http://arxiv.org/abs/2502.03938v1

Diagnosis of Alzheimer's disease using FusionNet with improved secretary bird optimization algorithm for optimal MK-SVM based on imaging genetic data.

Alzheimer's disease is an irreversible central neurodegenerative disease, and early diagnosis of Alz...

(1)

Feb 2025 39756421

Dementia Classification Using Acoustic Speech and Feature Selection

Dementia is a general term for a group of syndromes that affect cognitive functions such as memory...

Feb 2025 http://arxiv.org/abs/2502.03484v1

scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis

Functional MRI (fMRI) and single-cell transcriptomics are pivotal in Alzheimer's disease (AD) rese...

Feb 2025 http://arxiv.org/abs/2502.02630v1

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

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

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

Neurology

Browse Categories

Evaluating GPT's Capability in Identifying Stages of Cognitive Impairment from Electronic Health Data

Lifespan tree of brain anatomy: diagnostic values for motor and cognitive neurodegenerative diseases

Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia

Choroidal image analysis for OCT image sequences with applications in systemic health

Can ChatGPT Diagnose Alzheimer's Disease?

Image-Based Alzheimer's Disease Detection Using Pretrained Convolutional Neural Network Models

Explainable and externally validated machine learning for neuropsychiatric diagnosis via electrocardiograms

DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer's Disease

Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework

Unravelling Causal Genetic Biomarkers of Alzheimer's Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach

Diagnosis of Alzheimer's disease using FusionNet with improved secretary bird optimization algorithm for optimal MK-SVM based on imaging genetic data.

Dementia Classification Using Acoustic Speech and Feature Selection

scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis

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

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

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

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

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

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

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

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

Browse Categories