Neurology

Dementia

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

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MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility

Healthcare decision-making represents one of the most challenging domains for Artificial Intellige...

Large Language Model-Based Agents for Automated Research Reproducibility: An Exploratory Study in Alzheimer's Disease

Objective: To demonstrate the capabilities of Large Language Models (LLMs) as autonomous agents to...

Identification of Patterns of Cognitive Impairment for Early Detection of Dementia

Early detection of dementia is crucial to devise effective interventions. Comprehensive cognitive ...

Predicting and preventing Alzheimer's disease.

With all the advances in both the science of aging and artificial intelligence (AI), we are in a pro...

May 2025 40440380
Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning

Although Alzheimer's disease detection via MRIs has advanced significantly thanks to contemporary ...

(2)
Distance Transform Guided Mixup for Alzheimer's Detection

Alzheimer's detection efforts aim to develop accurate models for early disease diagnosis. Signific...

Machine learning based prediction of cognitive metrics using major biomarkers in SuperAgers.

As populations age, understanding cognitive decline and age-related diseases like dementia has becom...

May 2025 40436987
Deep learning-based CAD system for Alzheimer's diagnosis using deep downsized KPLS.

Alzheimer's disease (AD) is the most prevalent type of dementia. It is linked with a gradual decline...

May 2025 40425715
An Explainable Diagnostic Framework for Neurodegenerative Dementias via Reinforcement-Optimized LLM Reasoning

The differential diagnosis of neurodegenerative dementias is a challenging clinical task, mainly b...

WhisperD: Dementia Speech Recognition and Filler Word Detection with Whisper

Whisper fails to correctly transcribe dementia speech because persons with dementia (PwDs) often e...

Benchmarking Early Agitation Prediction in Community-Dwelling People with Dementia Using Multimodal Sensors and Machine Learning

Agitation is one of the most common responsive behaviors in people living with dementia, particula...

Facial expression deep learning algorithms in the detection of neurological disorders: a systematic review and meta-analysis.

BACKGROUND: Neurological disorders, ranging from common conditions like Alzheimer's disease that is ...

May 2025 40405223
AI-Driven Design and Development of Nontoxic DYRK1A Inhibitors.

Dual-specificity tyrosine-phosphorylation-regulated kinase 1A (DYRK1A) is implicated in several huma...

(1)
May 2025 40317470
Multi-modal Integration Analysis of Alzheimer's Disease Using Large Language Models and Knowledge Graphs

We propose a novel framework for integrating fragmented multi-modal data in Alzheimer's disease (A...

Diagnostic performance of actigraphy in Alzheimer's disease using a machine learning classifier - a cross-sectional memory clinic study.

BACKGROUND: Movement patterns, activity levels and circadian rhythm are altered in Alzheimer's disea...

May 2025 40399918
MRI-based diagnostic model for Alzheimer's disease using 3D-ResNet.

Alzheimer's disease (AD), a progressive neurodegenerative disorder, is the leading cause of dementia...

May 2025 40354785
XDementNET: An Explainable Attention Based Deep Convolutional Network to Detect Alzheimer Progression from MRI data

A common neurodegenerative disease, Alzheimer's disease requires a precise diagnosis and efficient...

(1)
Dementia Through Different Eyes: Explainable Modeling of Human and LLM Perceptions for Early Awareness

Cognitive decline often surfaces in language years before diagnosis. It is frequently non-experts,...

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