AIMC Topic: Homes for the Aged

Clear Filters Showing 1 to 10 of 34 articles

[How older people are learning through artificial intelligence-assisted health technologies : Cute seals and nervous fall sensors].

Zeitschrift fur Gerontologie und Geriatrie
BACKGROUND: With the growing use of artificial intelligence (AI) in various areas of life, AI technologies are increasingly being developed for the nursing and care of older people and are intended to contribute to greater safety for older people in ...

Towards clinical prediction with transparency: An explainable AI approach to survival modelling in residential aged care.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Scalable, flexible and highly interpretable tools for predicting mortality in residential aged care facilities for the purpose of informing and optimizing palliative care decisions, do not exist. This study is the first and ...

Human-robot interactions and experiences of staff and service robots in aged care.

Scientific reports
The rise of robotics in aged care is transforming how older adults are cared for, addressing staff shortages and workload. Daily interactions with staff and residents highlight an urgent need to better understand and improve human-robot interactions....

Longitudinal changes following the introduction of socially assistive robots in nursing homes: a qualitative study with ICF framework and causal loop diagramming.

BMC geriatrics
BACKGROUND: Socially assistive robots introduced in nursing care settings have multidimensional psychological impacts on care recipients and caregivers. This study aims to explore the longitudinal changes induced by socially assistive robots, focusin...

Prediction of Social Engagement in Long-Term Care Homes by Sex: A Population-Based Analysis Using Machine Learning.

Journal of applied gerontology : the official journal of the Southern Gerontological Society
The objective of this study was to use population-based clinical assessment data to build and evaluate machine-learning models for predicting social engagement among female and male residents of long-term care (LTC) homes. Routine clinical assessment...

Deploying Robot-Led Activities for People with Dementia at Aged Care Facilities: A Feasibility Study.

Journal of the American Medical Directors Association
OBJECTIVES: To explore the feasibility of deploying robot-led activities for people with dementia living in aged care facilities.

A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.

Journal of medical Internet research
BACKGROUND: Numerous studies have identified risk factors for physical restraint (PR) use in older adults in long-term care facilities. Nevertheless, there is a lack of predictive tools to identify high-risk individuals.

A social robot intervention on depression, loneliness, and quality of life for Taiwanese older adults in long-term care.

International psychogeriatrics
OBJECTIVES: To investigate the effect of a social robot intervention on depression, loneliness, and quality of life of older adults in long-term care (LTC) and to explore participants' experiences and perceptions after the intervention.

Deep learning prediction of falls among nursing home residents with Alzheimer's disease.

Geriatrics & gerontology international
AIM: This study aimed to use a convolutional neural network (CNN) to investigate the associations between the time of falling and multiple complicating factors, including age, dementia severity, lower extremity strength and physical function, among n...