Latest AI and machine learning research in dementia for healthcare professionals.
AIM: To explore the formal caregivers' perceptions and experiences of using pet robots for persons living with dementia residing in long-term care settings and the factors influencing their perceptions by evaluating, integrating, and synthesizing findings from relevant international research articles using a meta-ethnography.
OBJECTIVES: Sleep disturbances are common in people with dementia and increase with the severity of the disease. Sleep disturbances are complex and caused by several factors and are difficult to treat. There is a need for more robust and systematic studies dealing with sleep disturbances in older people with dementia. The aim of this study was to investigate effects from robot-assisted (Paro) grou...
OBJECTIVE: To investigate the effect of a social robot intervention on sleep and motor activity in nursing home residents living with dementia and chr...
Easily accessible biomarkers for Alzheimer's disease (AD), Parkinson's disease (PD), frontotemporal dementia (FTD), and related neurodegenerative diso...
BACKGROUND AND OBJECTIVE: Alzheimer's disease (AD) is the most common type of dementia that can seriously affect a person's ability to perform daily a...
Dementia is a neurodegenerative disorder that affects the older adult population. To date, no cure or treatment to change its course is available. Sin...
Artificial intelligence and machine learning based approaches are increasingly finding their way into various areas of nuclear medicine imaging. With ...
BACKGROUND: Alzheimer's Disease (AD) is a degenerative brain disorder that often occurs in people over 65Â years old. As advanced AD is difficult to ma...
Functional MRI (fMRI) is a prominent imaging technique to probe brain function, however, a substantial proportion of noise from multiple sources influ...
OBJECTIVE: Efficient prediction of the progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD) is important for the early intervent...
The effects of caregiver burden during the inpatient rehabilitation period have not yet been investigated. The purpose of this study was to evaluate t...
Tertiary disease prevention for dementia focuses on improving the quality of life of the patient. The quality of life of people with dementia (PwD) an...
INTRODUCTION: Alzheimer's disease (AD) is a complex and heterogeneous disease that affects neuronal cells over time and it is prevalent among all neur...
Early identification of individuals at risk of developing Alzheimer's disease (AD) dementia is important for developing disease-modifying therapies. I...
OBJECTIVE: Emerging technologies such as social robots have shown to be effective in reducing loneliness and agitation for older people with dementia....
The Alzheimer's Disease Neuroimaging (ADNI) database is an expansive undertaking by government, academia, and industry to pool resources and data on s...
OBJECTIVES: To test the effects of deploying a humanoid companion robot (Kabochan) in comparison with usual care for long-term care facilities' reside...
OBJECTIVE: The aim of this research is to identify the stage of Alzheimer's Disease (AD) patients through the use of mobility data and deep learning m...
The use of robot companion pets for people in care homes has been extensively studied. The results are largely positive and suggest that they are valu...
Alzheimer's disease (AD) is a progressive incurable neurodegenerative disease and a major health problem in aging population. We show that the combine...