AIMC Topic: Persons with Disabilities
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A novel mobiles android application for facilitating wheelchair users access to public buildings in urban environments.
Scientific reports
Jul 2, 2025
In recent years, societies and governments worldwide have increasingly focused on addressing the rights and needs of individuals with various disabilities. Concurrently, smartphone applications (apps) have gained widespread popularity across diverse ...
Artificial neural network-driven approaches to improved forecasting of disability care expenditures in an aging Kingdom of Saudi Arabia population.
Scientific reports
Jul 1, 2025
The total number of older persons globally (those aged 60 years and above) was 202 million in 1950; this total multiplied to attain 901 million and is predicted to triple again in 2100. The growth percentage of the elderly population is quickly impro...
Development of a neural network-based risk prediction model for mild cognitive impairment in older adults with functional disability.
BMC public health
Jun 2, 2025
BACKGROUND: Mild Cognitive Impairment (MCI) is a critical transitional stage between normal aging and Alzheimer's disease, and its early identification is essential for delaying disease progression.
Exploring the impact of AI on unemployment for people with disabilities: do educational attainment and governance matter?
Frontiers in public health
Apr 2, 2025
The current study investigates the impact of artificial intelligence (AI) on unemployment among people with disabilities, focusing on the mediating role of education and the moderating effect of governance quality. Using panel data from 27 high-tech ...
An effectiveness of machine learning models for estimate the financial cost of assistive services to disability care in the Kingdom of Saudi Arabia.
Scientific reports
Mar 28, 2025
As per the World Health Organization (WHO), the justifications of people with disabilities globally are restricted by physical and social barriers that exclude their full contribution to society. Constructed environment barriers can limit the availab...
Two-tier nature inspired optimization-driven ensemble of deep learning models for effective autism spectrum disorder diagnosis in disabled persons.
Scientific reports
Mar 24, 2025
Autism spectrum disorder (ASD) includes a varied set of neuropsychiatric illnesses. This disorder is described by a definite grade of loss in social communication, academic functioning, personal contact, and limited and repetitive behaviours. Individ...
Leveraging artificial intelligence for inclusive maternity care: Enhancing access for mothers with disabilities in Africa.
Women's health (London, England)
Mar 16, 2025
Women with disabilities face significant barriers in accessing maternal healthcare, which increases their risk of adverse pregnancy outcomes, particularly in Africa, where resources are limited. Artificial intelligence (AI) presents a unique opportun...
Development of weighted residual RNN model with hybrid heuristic algorithm for movement recognition framework in ambient assisted living.
Scientific reports
Feb 25, 2025
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 ...
Optimal design of a wheelchair-mounted robotic arm for activities of daily living.
Disability and rehabilitation. Assistive technology
Feb 18, 2025
PURPOSE: The increasing prevalence of upper limb dysfunctions due to stroke, spinal cord injuries, and multiple sclerosis presents a critical challenge in assistive technology: designing robotic arms that are both energy‑efficient and capable of effe...
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
Feb 14, 2025
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...
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