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Long-Term Care

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Facilitators and barriers to using telepresence robots in aged care settings: a scoping review protocol.

BMJ open
INTRODUCTION: Social isolation is a significant issue in aged care settings (eg, long-term care (LTC) and hospital) and is associated with adverse outcomes such as reduced well-being and loneliness. Loneliness is linked with depression, anxiety, cogn...

The importance of developing care-worker-centered robotic aides in long-term care.

Bioethics
Recent research points to the fact that new medical technological innovations are just as relevant in the context of long-term care or chronic care as they are in the context of acute care. In the spirit of the Nuffield Foundation recommendations, th...

Developing a Rule-Based Expert System to Infer Customized Care Plans for Long Term Care Patients.

Studies in health technology and informatics
Systems of long-term care are needed in aging society to meet the needs of older people. In rapidly increasing demand for long-term care, how to ensure the quality of long-term care is an important issue. Therefore, we designed a rule-based expert sy...

Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes.

Scientific reports
Malnutrition is a multidomain problem affecting 54% of older adults in long-term care (LTC). Monitoring nutritional intake in LTC is laborious and subjective, limiting clinical inference capabilities. Recent advances in automatic image-based food est...

Artificial intelligence for older people receiving long-term care: a systematic review of acceptability and effectiveness studies.

The lancet. Healthy longevity
Artificial intelligence (AI)-enhanced interventions show promise for improving the delivery of long-term care (LTC) services for older people. However, the research field is developmental and has yet to be systematically synthesised. This systematic ...

Developing Acute Event Risk Profiles for Older Adults with Dementia in Long-Term Care Using Motor Behavior Clusters Derived from Deep Learning.

Journal of the American Medical Directors Association
OBJECTIVES: This paper uses deep (machine) learning techniques to develop and test how motor behaviors, derived from location and movement sensor tracking data, may be associated with falls, delirium, and urinary tract infections (UTIs) in long-term ...

The adoption of socially assistive robots for long-term care: During COVID-19 and in a post-pandemic society.

Healthcare management forum
The rapid spread of COVID-19 has prompted a surge in the adoption of technology, highlighting a number of potential applications for Socially Assistive Robots (SARs). Our entire healthcare system has been under unprecedented strain, and going forward...

Promoting activity in long-term care facilities with the social robot Pepper: a pilot study.

Informatics for health & social care
About 40 000 individuals depend on assisted living in long-term care facilities in Norway. Around 80% of these have a cognitive impairment or suffer from dementia. This actualizes the need for activities that are tailored to individual needs. For som...

Toward Responsible Artificial Intelligence in Long-Term Care: A Scoping Review on Practical Approaches.

The Gerontologist
BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) is widely positioned to become a key element of intelligent technologies used in the long-term care (LTC) for older adults. The increasing relevance and adoption of AI has encouraged debate over...