AIMC Topic: 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
Oct 7, 2024
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...
Examining individual and contextual predictors of disability in Chinese older adults: A machine learning approach.
International journal of medical informatics
Jul 15, 2024
BACKGROUND: There is a large gap of understanding the determinants of disability, especially the contextual characteristics. Therefore, this study aimed to examine the important predictors of disability in Chinese older adults based on the social eco...
A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability.
Accident; analysis and prevention
Jul 3, 2024
One of the main objectives in improving the quality of life for individuals with disabilities, especially those experiencing mobility issues such as the elderly, is to enhance their day-to-day mobility. Enabling easy mobility contributes to their ind...
TransKinect: a computer vision and machine learning clinical decision support system for automatic independent wheelchair transfer technique assessment.
Disability and rehabilitation. Assistive technology
Jun 27, 2024
BACKGROUND: Physical and occupational therapists provide routine care for manual wheelchair users and are responsible for training and assessing the quality of transfers. These transfers can produce large loads on the upper extremity joints if improp...
Deep learning model for the prediction of all-cause mortality among long term care people in China: a prospective cohort study.
Scientific reports
Jun 25, 2024
This study aimed to develop a deep learning model to predict the risk stratification of all-cause death for older people with disability, providing guidance for long-term care plans. Based on the government-led long-term care insurance program in a p...
Use of Artificial Intelligence Techniques to Assist Individuals with Physical Disabilities.
Annual review of biomedical engineering
Jun 20, 2024
Assistive technologies (AT) enable people with disabilities to perform activities of daily living more independently, have greater access to community and healthcare services, and be more productive performing educational and/or employment tasks. Int...
Experiment-free exoskeleton assistance via learning in simulation.
Nature
Jun 12, 2024
Exoskeletons have enormous potential to improve human locomotive performance. However, their development and broad dissemination are limited by the requirement for lengthy human tests and handcrafted control laws. Here we show an experiment-free meth...
Care-receivers with physical disabilities' perceptions on having humanoid assistive robots as assistants: a qualitative study.
BMC health services research
Apr 25, 2024
BACKGROUND: People with physical disabilities due to disease or injury face barriers to their daily activities and participation in society. Many depend on formal or informal caregivers for assistance to live independently. However, future healthcare...
Modelling for disability: How does artificial intelligence affect unemployment among people with disability? An empirical analysis of linear and nonlinear effects.
Research in developmental disabilities
Apr 24, 2024
There is a growing debate among scholars regarding the impact of artificial intelligence (AI) on the employment opportunities and professional development of people with disability. Although there has been an increasing body of empirical research on ...
Understanding COVID-19 infection among people with intellectual and developmental disabilities using machine learning.
Disability and health journal
Mar 15, 2024
BACKGROUND: People with intellectual and developmental disabilities (IDD) were disproportionately affected by the COVID-19 pandemic. Predicting COVID-19 infection has been difficult.
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