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Dementia

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Natural language processing techniques for studying language in pathological ageing: A scoping review.

International journal of language & communication disorders
BACKGROUND: In the past few years there has been a growing interest in the employment of verbal productions as digital biomarkers, namely objective, quantifiable behavioural data that can be collected and measured by means of digital devices, allowin...

Toward explainable AI-empowered cognitive health assessment.

Frontiers in public health
Explainable artificial intelligence (XAI) is of paramount importance to various domains, including healthcare, fitness, skill assessment, and personal assistants, to understand and explain the decision-making process of the artificial intelligence (A...

Socially Assistive Robots for People Living with Dementia in Long-Term Facilities: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Gerontology
BACKGROUND AND OBJECTIVE: The purpose of our study was to explore the immediate and long-term effects of socially assistive robots (SARs) on neuropsychiatric symptoms (NPSs), behavioral and psychological symptoms of dementia (BPSD), positive emotiona...

Nurses' perception towards care robots and their work experience with socially assistive technology during COVID-19: A qualitative study.

Geriatric nursing (New York, N.Y.)
This study aimed to explore nurses' perceptions towards care robots and their work experiences in caring for older adults who use socially assistive technology. This qualitative descriptive study included 18 nurses who cared for older adults with dem...

Interpretable machine learning for dementia: A systematic review.

Alzheimer's & dementia : the journal of the Alzheimer's Association
INTRODUCTION: Machine learning research into automated dementia diagnosis is becoming increasingly popular but so far has had limited clinical impact. A key challenge is building robust and generalizable models that generate decisions that can be rel...

[Artificial intelligence and ethics in healthcare-balancing act or symbiosis?].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Artificial intelligence (AI) is becoming increasingly important in healthcare. This development triggers serious concerns that can be summarized by six major "worst-case scenarios". From AI spreading disinformation and propaganda, to a potential new ...

Application of machine learning techniques for dementia severity prediction from psychometric tests in the elderly population.

Applied neuropsychology. Adult
Previous research has shown the benefits of early detection and treatment of dementia. This detection is usually performed manually by one or more clinicians based on reports and psychometric testing. Machine learning algorithms provide an alternativ...

The usability and feasibility validation of the social robot MINI in people with dementia and mild cognitive impairment; a study protocol.

BMC psychiatry
BACKGROUND: Social robots have demonstrated promising outcomes in terms of increasing the social health and well-being of people with dementia and mild cognitive impairment. According to the World Health Organization's Monitoring and assessing digita...

Dementia Detection from Speech Using Machine Learning and Deep Learning Architectures.

Sensors (Basel, Switzerland)
Dementia affects the patient's memory and leads to language impairment. Research has demonstrated that speech and language deterioration is often a clear indication of dementia and plays a crucial role in the recognition process. Even though earlier ...

Dialogue agents for artificial intelligence-based conversational systems for cognitively disabled: a systematic review.

Disability and rehabilitation. Assistive technology
PURPOSE: We present a systematic literature review of dialogue agents for Artificial Intelligence (AI) and agent-based conversational systems dealing with cognitive disability of aged and impaired people including dementia and Parkinson's disease. We...