Neurology

Dementia

Latest AI and machine learning research in dementia for healthcare professionals.

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Effects of a Humanoid Companion Robot on Dementia Symptoms and Caregiver Distress for Residents in Long-Term Care.

OBJECTIVES: To test the effects of deploying a humanoid companion robot (Kabochan) in comparison wit...

Alzheimer's Disease stage identification using deep learning models.

OBJECTIVE: The aim of this research is to identify the stage of Alzheimer's Disease (AD) patients th...

Robot companion cats for people at home with dementia: A qualitative case study on companotics.

The use of robot companion pets for people in care homes has been extensively studied. The results a...

Diagnosis of Alzheimer's disease using laser-induced breakdown spectroscopy and machine learning.

Alzheimer's disease (AD) is a progressive incurable neurodegenerative disease and a major health pro...

Ethical perceptions towards real-world use of companion robots with older people and people with dementia: survey opinions among younger adults.

BACKGROUND: Use of companion robots may reduce older people's depression, loneliness and agitation. ...

Home-Based Cognitively Assistive Robots: Maximizing Cognitive Functioning and Maintaining Independence in Older Adults Without Dementia.

Promoting health and prolonging independence in the home is a priority for older adults, caregivers,...

Fully bayesian longitudinal unsupervised learning for the assessment and visualization of AD heterogeneity and progression.

Tau pathology and brain atrophy are the closest correlate of cognitive decline in Alzheimer's diseas...

Using diffusion tensor imaging to detect cortical changes in fronto-temporal dementia subtypes.

Fronto-temporal dementia (FTD) is a common type of presenile dementia, characterized by a heterogene...

Selective Neuronal Vulnerability in Alzheimer's Disease: A Network-Based Analysis.

A major obstacle to treating Alzheimer's disease (AD) is our lack of understanding of the molecular ...

Speech Quality Feature Analysis for Classification of Depression and Dementia Patients.

Loss of cognitive ability is commonly associated with dementia, a broad category of progressive brai...

Effects of non-facilitated meaningful activities for people with dementia in long-term care facilities: A systematic review.

This systematic review sought to evaluate the effectiveness of non-facilitated meaningful activities...

Insight into potent leads for alzheimer's disease by using several artificial intelligence algorithms.

Several proteins including S-nitrosoglutathione reductase (GSNOR), complement Factor D, complement 3...

Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer's disease and cancers.

BACKGROUND: Predictive patient stratification is greatly emerging, because it allows us to prospecti...

Robotic assistance for people with dementia: a viable option for the future?

INTRODUCTION: Demographic changes in society and fewer personnel working in healthcare services have...

MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer's Disease: A Survey.

Many neurological diseases and delineating pathological regions have been analyzed, and the anatomic...

An Efficient Combination among sMRI, CSF, Cognitive Score, and 4 Biomarkers for Classification of AD and MCI Using Extreme Learning Machine.

Alzheimer's disease (AD) is the most common cause of dementia and a progressive neurodegenerative co...

AD-NET: Age-adjust neural network for improved MCI to AD conversion prediction.

The prediction of Mild Cognitive Impairment (MCI) patients who are at higher risk converting to Alzh...

Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging.

Subtle changes in white matter (WM) microstructure have been associated with normal aging and neurod...

Evidence that the Kennedy and polyamine pathways are dysregulated in human brain in cases of dementia with Lewy bodies.

Disruptions of brain metabolism are considered integral to the pathogenesis of dementia, but thus fa...

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