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 1660-1680 of 11,708 articles
Short-Term Memory Binding Distinguishing Amnestic Mild Cognitive Impairment from Healthy Aging: A Machine Learning Study.

BACKGROUND: Amnestic mild cognitive impairment (aMCI) is the most common preclinical stage of Alzhei...

Screening for Early-Stage Alzheimer's Disease Using Optimized Feature Sets and Machine Learning.

BACKGROUND: Detecting early-stage Alzheimer's disease in clinical practice is difficult due to a lac...

A Review of Automated Techniques for Assisting the Early Detection of Alzheimer's Disease with a Focus on EEG.

In this paper, we review state-of-the-art approaches that apply signal processing (SP) and machine l...

Deep Learning and Risk Score Classification of Mild Cognitive Impairment and Alzheimer's Disease.

BACKGROUND: Many neurocognitive and neuropsychological tests are used to classify early mild cogniti...

Sex Differences of Brain Functional Topography Revealed in Normal Aging and Alzheimer's Disease Cohort.

We applied graph theory analysis on resting-state functional magnetic resonance imaging data to eval...

Quantitative Assessment of Resting-State for Mild Cognitive Impairment Detection: A Functional Near-Infrared Spectroscopy and Deep Learning Approach.

BACKGROUND: Mild cognitive impairment (MCI) is considered a prodromal stage of Alzheimer's disease. ...

Machine Learning for the Prediction of Amyloid Positivity in Amnestic Mild Cognitive Impairment.

BACKGROUND: Amyloid-β (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is impor...

Recursive Support Vector Machine Biomarker Selection for Alzheimer's Disease.

BACKGROUND: There is a need for more reliable diagnostic tools for the early detection of Alzheimer'...

Quantitative Longitudinal Predictions of Alzheimer's Disease by Multi-Modal Predictive Learning.

BACKGROUND: Quantitatively predicting the progression of Alzheimer's disease (AD) in an individual o...

Analysis of Risk Factors in Dementia Through Machine Learning.

BACKGROUND: Sociodemographic data indicate the progressive increase in life expectancy and the preva...

Social Robot Interventions for People with Dementia: A Systematic Review on Effects and Quality of Reporting.

BACKGROUND: Using non-pharmacological interventions is a current approach in dementia care to manage...

Machine Learning-Supported Analyses Improve Quantitative Histological Assessments of Amyloid-β Deposits and Activated Microglia.

BACKGROUND: Detailed pathology analysis and morphological quantification is tedious and prone to err...

Diagnosis of Alzheimer's Disease Based on Deeply-Fused Nets.

AIM AND OBJECTIVE: Fast and accurate diagnosis of Alzheimer's disease is very important for the care...

DeepDicomSort: An Automatic Sorting Algorithm for Brain Magnetic Resonance Imaging Data.

With the increasing size of datasets used in medical imaging research, the need for automated data c...

Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease.

Diffusion MRI is the modality of choice to study alterations of white matter. In past years, various...

A systematic literature review of automatic Alzheimer's disease detection from speech and language.

OBJECTIVE: In recent years numerous studies have achieved promising results in Alzheimer's Disease (...

Detecting and Classifying Self-injurious Behavior in Autism Spectrum Disorder Using Machine Learning Techniques.

Traditional self-injurious behavior (SIB) management can place compliance demands on the caregiver a...

[Integrating Artificial Intelligence Into Healthcare Research].

The rapid development of artificial intelligence (AI) technologies in recent decades has led to inno...

Computational framework for detection of subtypes of neuropsychiatric disorders based on DTI-derived anatomical connectivity.

Many brain disorders - such as Alzheimer's disease, Parkinson's disease, schizophrenia and autism - ...

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