Dementia

Differential Role for Hippocampal Subfields in Alzheimer's Disease Progression Revealed with Deep Learning.

Mild cognitive impairment (MCI) is often considered the precursor of Alzheimer's disease. However, M...

Advances in Deep Neuropathological Phenotyping of Alzheimer Disease: Past, Present, and Future.

Alzheimer disease (AD) is a neurodegenerative disorder characterized pathologically by the presence ...

The Use of Robotics in Dementia Care: An Ethical Perspective.

Dementia and other related diseases are becoming increasingly diagnosed and are placing a serious st...

Effects of Exercise-Diet Therapy on Cognitive Function in Healthy Elderly People Evaluated by Deep Learning Based on Basic Blood Test Data.

BACKGROUND: Recent studies reported that vascular cognitive impairment in the elderly caused by arte...

A Machine Learning-Based Holistic Approach to Predict the Clinical Course of Patients within the Alzheimer's Disease Spectrum.

BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative condition driven by multifactorial etiol...

Chronic Beneficial Effect of Makeup Therapy on Cognitive Function of Dementia and Facial Appearance Analyzed by Artificial Intelligence Software.

BACKGROUND: Makeup greatly impacts normal social lives but can also be a non-pharmacological form of...

Utility of Machine Learning Approach with Neuropsychological Tests in Predicting Functional Impairment of Alzheimer's Disease.

BACKGROUND: In assessing the levels of clinical impairment in dementia, a summary index of neuropsyc...

Identifying Mild Cognitive Impairment by Using Human-Robot Interactions.

BACKGROUND: Mild cognitive impairment (MCI), which is common in older adults, is a risk factor for d...

Applications and Challenges of Machine Learning Methods in Alzheimer's Disease Multi-Source Data Analysis.

BACKGROUND: Recent development in neuroimaging and genetic testing technologies have made it possibl...

Educational Program Using Robots for Preventing Cognitive Decline of Elderly Persons.

An expected surge of dementia patients in Japan indicates a pressing need to establish countermeasur...

Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data.

Alzheimer's disease (AD) is a progressive neurodegenerative brain disorder characterized by memory l...

Use of deep learning genomics to discriminate Alzheimer's disease and healthy controls.

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and the most common form o...

Input Agnostic Deep Learning for Alzheimer's Disease Classification Using Multimodal MRI Images.

Alzheimer's disease (AD) is a progressive brain disorder that causes memory and functional impairmen...

Data-Limited Deep Learning Methods for Mild Cognitive Impairment Classification in Alzheimer's Disease Patients.

Mild Cognitive Impairment (MCI) is the stage between the declining of normal brain function and the ...

Federated Learning via Conditional Mutual Learning for Alzheimer's Disease Classification on T1w MRI.

Data-driven deep learning has been considered a promising method for building powerful models for me...

A comparative study of AI systems for epileptic seizure recognition based on EEG or ECG.

The majority of studies for automatic epileptic seizure (ictal) detection are based on electroenceph...

Early Detection of Low Cognitive Scores from Dual-task Performance Data Using a Spatio-temporal Graph Convolutional Neural Network.

Detecting low cognitive scores at an early stage is important for delaying the progress of dementia....

Deep Learning on SDF for Classifying Brain Biomarkers.

Biomarkers are one of the primary medical signs to facilitate the early detection of Alzheimer's dis...

[Retinal Imaging as Potential Biomarkers for Dementia].

Alzheimer's disease (AD) is a leading cause of dementia, and the current diagnostic methods of AD, s...

A modified binary particle swarm optimization with a machine learning algorithm and molecular docking for QSAR modelling of cholinesterase inhibitors.

The acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) inhibitors play a key role in trea...

Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.