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 2668-2688 of 12,142 articles
SBERO: Skill Al-Biruni Earth Radius Optimization for Alzheimer's Disease Classification Using Magnetic Resonance Image.

Alzheimer's disease (AD) is the most prevalent form of dementia, characterized by progressive memory...

(1)
Mar 2025 39887547
Developing and validating a prediction tool for cerebral amyloid angiopathy neuropathological severity.

INTRODUCTION: Cerebral amyloid angiopathy (CAA) is a cerebrovascular condition, the severity of whic...

Mar 2025 40042448
A deep-learning retinal aging biomarker for cognitive decline and incident dementia.

INTRODUCTION: The utility of retinal photography-derived aging biomarkers for predicting cognitive d...

Mar 2025 40042460
Synthesizing Individualized Aging Brains in Health and Disease with Generative Models and Parallel Transport

Simulating prospective magnetic resonance imaging (MRI) scans from a given individual brain image ...

Deep learning-based cell-specific gene regulatory networks inferred from single-cell multiome data.

Gene regulatory networks (GRNs) provide a global representation of how genetic/genomic information i...

Feb 2025 40037709
MultiConAD: A Unified Multilingual Conversational Dataset for Early Alzheimer's Detection

Dementia is a progressive cognitive syndrome with Alzheimer's disease (AD) as the leading cause. C...

(1)
BarkXAI: A Lightweight Post-Hoc Explainable Method for Tree Species Classification with Quantifiable Concepts

The precise identification of tree species is fundamental to forestry, conservation, and environme...

Exploring proteomic signatures in sepsis and non-infectious systemic inflammatory response syndrome

Background: The search for new biomarkers that allow an early diagnosis in sepsis has become a nec...

[Classification of Alzheimer's disease based on multi-example learning and multi-scale feature fusion].

Alzheimer's disease (AD) classification models usually segment the entire brain image into voxel blo...

(2)
Feb 2025 40000185
Predictability of temporal network dynamics in normal ageing and brain pathology

Spontaneous brain activity generically displays transient spatiotemporal coherent structures, whic...

(4)
Utilizing Sequential Information of General Lab-test Results and Diagnoses History for Differential Diagnosis of Dementia

Early diagnosis of Alzheimer's Disease (AD) faces multiple data-related challenges, including high...

(1)
The Relationship Between Head Injury and Alzheimer's Disease: A Causal Analysis with Bayesian Networks

This study examines the potential causal relationship between head injury and the risk of developi...

Targeting C99 Mediated Metabolic Disruptions with Ketone Therapy in Alzheimer's Disease

The role of ketone bodies in Alzheimers disease (AD) remains incompletely understood, particularly...

Developing Conversational Speech Systems for Robots to Detect Speech Biomarkers of Cognition in People Living with Dementia

This study presents the development and testing of a conversational speech system designed for rob...

(3)
NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech

The early diagnosis of Alzheimer's Disease (AD) through non invasive methods remains a significant...

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model

In the analysis of remote healthcare monitoring data, time series representation learning offers s...

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...

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

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

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...

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