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 1555-1575 of 11,708 articles
[A study of cognitive impairment quantitative assessment method based on gait characteristics].

Alzheimer's disease (AD) is a common and serious form of elderly dementia, but early detection and t...

Exploration of Imaging Genetic Biomarkers of Alzheimer's Disease Based on a Machine Learning Method.

BACKGROUND: Alzheimer's disease (AD) is an irreversible primary brain disease with insidious onset. ...

Synthesizing images of tau pathology from cross-modal neuroimaging using deep learning.

Given the prevalence of dementia and the development of pathology-specific disease-modifying therapi...

Extracting Symptoms of Agitation in Dementia from Free-Text Nursing Notes Using Advanced Natural Language Processing.

Nursing staff record observations about older people under their care in free-text nursing notes. Th...

An Interpretable Population Graph Network to Identify Rapid Progression of Alzheimer's Disease Using UK Biobank.

Alzheimer's disease (AD) manifests with varying progression rates across individuals, necessitating ...

Ensuring Fairness in Detecting Mild Cognitive Impairment with MRI.

Machine learning (ML) algorithms play a crucial role in the early and accurate diagnosis of Alzheime...

Analyzing Dementia Caregivers' Experiences on Twitter: A Term-Weighted Topic Modeling Approach.

Dementia profoundly impacts patients and their families, making it essential to understand the exper...

User Experience in Virtual Reality (VR) Applications for Elderly People with Cognitive Impairment and Dementia: A Scoping Review.

BACKGROUND: In recent years, Virtual Reality (VR) has emerged as a promising tool to improve the wel...

A Study on Machine Learning Models in Detecting Cognitive Impairments in Alzheimer's Patients Using Cerebrospinal Fluid Biomarkers.

Several research studies have demonstrated the potential use of cerebrospinal fluid biomarkers such ...

Towards Explainable Detection of Alzheimer's Disease: A Fusion of Deep Convolutional Neural Network and Enhanced Weighted Fuzzy C-Mean.

BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by co...

Identifying the Role of Oligodendrocyte Genes in the Diagnosis of Alzheimer's Disease through Machine Learning and Bioinformatics Analysis.

BACKGROUND: Due to the heterogeneity of Alzheimer's disease (AD), the underlying pathogenic mechanis...

Importance of Serum Albumin in Deep Learning-Based Prediction of Cognitive Function Data in the Aged Using a Basic Blood Test.

BACKGROUND: Recently, a method using deep learning has been developed to estimate the risk of develo...

A Study of Assisted Screening for Alzheimer's Disease Based on Handwriting and Gait Analysis.

BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disease that is not easily d...

Identification of Dementia & Mild Cognitive Impairment in Chinese Elderly Using Machine Learning.

OBJECTIVE: To assess the role of Machine Learning (ML) in identification critical factors of dementi...

Association between Resting Heart Rate and Machine Learning-Based Brain Age in Middle- and Older-Age.

BACKGROUND: Resting heart rate (RHR), has been related to increased risk of dementia, but the relati...

Alzheimer's Disease Prediction Using Fly-Optimized Densely Connected Convolution Neural Networks Based on MRI Images.

Alzheimer's is a degenerative brain cell disease that affects around 5.8 million people globally. Th...

Screening Targets and Therapeutic Drugs for Alzheimer's Disease Based on Deep Learning Model and Molecular Docking.

BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder caused by a complex interplay o...

Classifying Alzheimer's Disease Neuropathology Using Clinical and MRI Measurements.

BACKGROUND: Computer-aided machine learning models are being actively developed with clinically avai...

Updated Models of Alzheimer's Disease with Deep Neural Networks.

BACKGROUND: In recent years, researchers have focused on developing precise models for the progressi...

Enhancing Alzheimer's Disease Classification with Transfer Learning: Finetuning a Pre-trained Algorithm.

OBJECTIVE: The increasing longevity of the population has made Alzheimer's disease (AD) a significan...

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