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 1345-1365 of 11,687 articles
A support vector machine-based method to identify mild cognitive impairment with multi-level characteristics of magnetic resonance imaging.

Mild cognitive impairment (MCI) represents a transitional state between normal aging and Alzheimer's...

Effectiveness of a social robot, "Paro," in a VA long-term care setting.

Interest in animal assisted interventions (AAI) has grown over the years, but acceptance of AAI by t...

Classification of amyloid status using machine learning with histograms of oriented 3D gradients.

Brain amyloid burden may be quantitatively assessed from positron emission tomography imaging using ...

Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.

Sparse learning has been widely investigated for analysis of brain images to assist the diagnosis of...

Service innovation through social robot engagement to improve dementia care quality.

Assistive technologies, such as robots, have proven to be useful in a social context and to improve ...

An EEG-Based Fuzzy Probability Model for Early Diagnosis of Alzheimer's Disease.

Alzheimer's disease is a degenerative brain disease that results in cardinal memory deterioration an...

Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.

Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer's ...

Group activity with Paro in nursing homes: systematic investigation of behaviors in participants.

BACKGROUND: A variety of group activities is promoted for nursing home (NH) residents with dementia ...

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in r...

Voxel-Based Diagnosis of Alzheimer's Disease Using Classifier Ensembles.

Functional magnetic resonance imaging (fMRI) is one of the most promising noninvasive techniques for...

Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease.

Understanding the progression of chronic diseases can empower the sufferers in taking proactive care...

HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework.

Multivariate pattern analysis techniques have been increasingly used over the past decade to derive ...

Significant Increase in C-Reactive Protein and Serum Amyloid A in the Early Hours of Paroxysmal Atrial Fibrillation.

BACKGROUND: A number of data have been accumulated on inflammation in persistent and permanent atria...

Use of machine learning for behavioral distinction of autism and ADHD.

Although autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) continue...

Vision-Based Pose Estimation for Robot-Mediated Hand Telerehabilitation.

Vision-based Pose Estimation (VPE) represents a non-invasive solution to allow a smooth and natural ...

The GAAIN Entity Mapper: An Active-Learning System for Medical Data Mapping.

This work is focused on mapping biomedical datasets to a common representation, as an integral part ...

Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.

As shown in the literature, methods based on multiple templates usually achieve better performance, ...

Cognitively impaired elderly exhibit insulin resistance and no memory improvement with infused insulin.

Insulin resistance is a risk factor for Alzheimer's disease (AD), although its role in AD etiology i...

A hybrid manifold learning algorithm for the diagnosis and prognostication of Alzheimer's disease.

The diagnosis of Alzheimer's disease (AD) requires a variety of medical tests, which leads to huge a...

CSF YKL-40 and pTau181 are related to different cerebral morphometric patterns in early AD.

Cerebrospinal fluid (CSF) concentrations of YKL-40 that serve as biomarker of neuroinflammation are ...

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