AIMC Topic: Dementia

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Using Machine Learning to Predict Dementia from Neuropsychiatric Symptom and Neuroimaging Data.

Journal of Alzheimer's disease : JAD
BACKGROUND: Machine learning (ML) is a promising technique for patient-specific prediction of mild cognitive impairment (MCI) and dementia development. Neuropsychiatric symptoms (NPS) might improve the accuracy of ML models but have barely been used ...

[Support for Patients and Their Family Using Artificial Intelligence].

Brain and nerve = Shinkei kenkyu no shinpo
For patients with dementia and their family, artificial intelligence (AI) has been utilized to support diagnosis and evaluation. In addition, communication robots equipped with AI offer a way to maintain the cognitive functions of patients with demen...

[Use AI for Dementia Diagnosis].

Brain and nerve = Shinkei kenkyu no shinpo
Using AI for dementia diagnosis is still in research stage, however some of the work points to the development of new medical devices. One is a voxel-based morphometry analysis of brain atrophy, and a brain network analysis using a resting state func...

Evaluation of a Companion Robot for Individuals With Dementia: Quantitative Findings of the MARIO Project in an Irish Residential Care Setting.

Journal of gerontological nursing
The current study focuses on the short-term effect of MARIO, a social robot, on quality of life, depression, and perceived social support in persons with dementia (PWD) and evaluates their acceptability of MARIO. Ten PWD in one nursing home took part...

"She Had a Smile on Her Face as Wide as the Great Australian Bite": A Qualitative Examination of Family Perceptions of a Therapeutic Robot and a Plush Toy.

The Gerontologist
BACKGROUND AND OBJECTIVES: Recent years have seen social robotic pets introduced as a means of treating behavioral and psychological symptoms of dementia, and many show promising potential. In this study, we sought to explore family members' percepti...

Social Robots as a Complementary Therapy in Chronic, Progressive Diseases.

Advances in experimental medicine and biology
Globally, the world population is ageing, which increases the prevalence of non-communicable diseases that affect patients both physically and psychologically, such as is the case of dementia. Consequently, there is a greater demand for the healthcar...

Episodic-Memory Performance in Machine Learning Modeling for Predicting Cognitive Health Status Classification.

Journal of Alzheimer's disease : JAD
BACKGROUND: Memory dysfunction is characteristic of aging and often attributed to Alzheimer's disease (AD). An easily administered tool for preliminary assessment of memory function and early AD detection would be integral in improving patient manage...

[Big data and artificial intelligence for diagnostic decision support in atypical dementia].

Der Nervenarzt
The differential diagnosis of atypical dementia remains difficult. The use of positron emission tomography (PET) still represents the gold standard for imaging diagnostics. According to the current evidence, however, magnetic resonance imaging (MRI) ...

Infection prevention and control challenges of using a therapeutic robot.

Nursing older people
This work was part of a National Institute for Health Research participatory action research and practice development study, which focused on the use of a therapeutic, robotic baby seal (PARO, for personal assistive robot) in everyday practice in a s...