Geriatrics

Alzheimer's Disease

Latest AI and machine learning research in alzheimer's disease for healthcare professionals.

11,708 articles
Stay Ahead - Weekly Alzheimer's Disease research updates
Subscribe
Browse Categories
Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 1429-1449 of 11,708 articles
Multimodal fusion architectures for Alzheimer's disease diagnosis: An experimental study.

OBJECTIVE: In the attempt of early diagnosis of Alzheimer's Disease, varying forms of medical record...

Assessing amyloid fibrils and amorphous aggregates: A review.

Protein misfolding and aggregation play a central role in the progression of neurodegenerative disea...

Sharing patient technology preferences with care networks: Stakeholders' views of the "Let's Talk Tech" decision aid for dementia care.

BackgroundLet's Talk Tech (LTT) is a self-administered web intervention for people with memory loss ...

GeneDX-PBMC: An adversarial autoencoder framework for unlocking Alzheimer's disease biomarkers using blood single-cell RNA sequencing data.

OBJECTIVE: To identify blood-based biomarkers and therapeutic targets for Alzheimer's disease (AD) b...

Metabolic Dysfunction-Associated Steatotic Liver Disease Is Associated With Accelerated Brain Ageing: A Population-Based Study.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is linked to cognitive ...

Use of artificial intelligence to support quality of life of people with dementia: A scoping review.

BACKGROUND: Dementia has an impact on the quality of life (QoL) of people with dementia. Tailored se...

Fully Hyperbolic Neural Networks: A Novel Approach to Studying Aging Trajectories.

Characterizing age-related alterations in brain networks is crucial for understanding aging trajecto...

Deep-learning based multi-modal models for brain age, cognition and amyloid pathology prediction.

BACKGROUND: Magnetic resonance imaging (MRI), combined with artificial intelligence techniques, has ...

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...

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...

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...

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 ...

AI-Driven Design and Development of Nontoxic DYRK1A Inhibitors.

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

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...

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...

Translational approach for dementia subtype classification using convolutional neural network based on EEG connectome dynamics.

Dementia spectrum disorders, characterized by progressive cognitive decline, pose a significant glob...

An integrated deep learning model for early and multi-class diagnosis of Alzheimer's disease from MRI scans.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that severely affects memory, b...

Identifying Key Factors Associated with Assistive Technology Availability for Dementia Care Using Machine Learning.

This study explores the factors influencing the availability of assistive technology for people with...

A Medical Decision Support System for Automatic Treatment Plan Generation Using Machine Learning Algorithms.

Due to demographic change, health economics is increasingly focused on the quality of life in advanc...

Deep normative modelling reveals insights into early-stage Alzheimer's disease using multi-modal neuroimaging data.

BACKGROUND: Exploring the early stages of Alzheimer's disease (AD) is crucial for timely interventio...

Alzheimer's subtypes A supervised, unsupervised, multimodal, multilayered embedded recursive (SUMMER) AI study.

Since Alzheimer's disease (AD) is a heterogeneous disease, different subtypes may have distinct biol...

Browse Categories