AI Medical Compendium Topic

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Persons with Disabilities

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Justice-centered best practices for accessibility to public buildings in a tier II city: Insights from a Delphi expert consensus.

F1000Research
BACKGROUND: Despite beneficial progress in policies, awareness and advocacy, accessibility gaps exist in public buildings in India. Challenges achieving full inclusivity still exist, due to a lack of clear guidance for implementing accessible solutio...

Activities of Daily Living Object Dataset: Advancing Assistive Robotic Manipulation with a Tailored Dataset.

Sensors (Basel, Switzerland)
The increasing number of individuals with disabilities-over 61 million adults in the United States alone-underscores the urgent need for technologies that enhance autonomy and independence. Among these individuals, millions rely on wheelchairs and of...

The role of artificial intelligence in enhancing healthcare for people with disabilities.

Social science & medicine (1982)
The integration of artificial intelligence (AI) in healthcare delivery represents a transformative opportunity to enhance the lives of people living with disabilities. AI-driven technologies, such as assistive devices, conversational agents, and reha...

Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis.

Medicina (Kaunas, Lithuania)
: Recent research has focused on exploring the relationships between various factors associated with headaches and understanding their impact on individuals' psychological states. Utilizing statistical methods and machine learning models, these studi...

Development of weighted residual RNN model with hybrid heuristic algorithm for movement recognition framework in ambient assisted living.

Scientific reports
In healthcare applications, automatic and intelligent movement recognition systems in Ambient Assisted Living (AAL) are designed for elderly and disabled persons. The AAL provides assistance as well as secure feelings to disabled persons and elderly ...

Comparison of logistic regression and machine learning methods for predicting depression risks among disabled elderly individuals: results from the China Health and Retirement Longitudinal Study.

BMC psychiatry
BACKGROUND: Given the accelerated aging population in China, the number of disabled elderly individuals is increasing, and depression is a common mental disorder among older adults. This study aims to establish an effective model for predicting depre...

Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities.

Scientific reports
Disabled persons demanding healthcare is a developing global occurrence. The support in longer-term care includes nursing, intricate medical, recovery, and social help services. The price is large, but advanced technologies can aid in decreasing expe...

Developing an interpretable machine learning model for screening depression in older adults with functional disability.

Journal of affective disorders
This study utilized data from the 2020 wave of the China Health and Retirement Longitudinal Study database, selecting 4322 participants aged 60 and above as the study sample. Important predictors of depression in older adults with functional disabili...

Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND: With the global population aging and advancements in the medical system, long-term care in healthcare institutions and home settings has become essential for older adults with disabilities. However, the diverse and scattered care requirem...