Public articles linked to the same research event.
Rehabilitation psychology Following PRISMA-ScR guidelines, this systematic scoping review searched PubMed and Web of Science and identified 72 relevant studies, mapping AI applications in social support for persons with disabilities through the lens of participation, autonomy, and environmental fit across five areas—"Mobility and Navigation Assistance" (n = 20, 41.7%), "Communication and Information Accessibility" (n = 14, 29.2%), "Smart Assistance for Daily Living" (n = 7, 14.6%), "Education and Vocational Empowerment" (n = 5, 8.3%), and "Mental Health Support and Social Inclusion" (n = 3, 6.3%)—and identifying challenges including data privacy (58.3%), inadequate training datasets (25.0%), high implementation costs (25.0%), algorithmic biases (20.8%), and limited real-world evidence of benefits (20.
Following PRISMA-ScR guidelines, this systematic scoping review searched PubMed and Web of Science and identified 72 relevant studies, mapping AI applications in social support for persons with disabilities through the lens of participation, autonomy, and environmental fit across five areas—"Mobility and Navigation Assistance" (n = 20, 41.7%), "Communication and Information Accessibility" (n = 14, 29.2%), "Smart Assistance for Daily Living" (n = 7, 14.6%), "Education and Vocational Empowerment" (n = 5, 8.3%), and "Mental Health Support and Social Inclusion" (n = 3, 6.3%)—and identifying challenges including data privacy (58.3%), inadequate training datasets (25.0%), high implementation costs (25.0%), algorithmic biases (20.8%), and limited real-world evidence of benefits (20.
Following PRISMA-ScR guidelines, this systematic scoping review searched PubMed and Web of Science and identified 72 relevant studies, mapping AI applications in social support for persons with disabilities through the lens of participation, autonomy, and environmental fit across five areas—"Mobility and Navigation Assistance" (n = 20, 41.7%), "Communication and Information Accessibility" (n = 14, 29.2%), "Smart Assistance for Daily Living" (n = 7, 14.6%), "Education and Vocational Empowerment" (n = 5, 8.3%), and "Mental Health Support and Social Inclusion" (n = 3, 6.3%)—and identifying challenges including data privacy (58.3%), inadequate training datasets (25.0%), high implementation costs (25.0%), algorithmic biases (20.8%), and limited real-world evidence of benefits (20.
Following PRISMA-ScR guidelines, this systematic scoping review searched PubMed and Web of Science and identified 72 relevant studies, mapping AI applications in social support for persons with disabilities through the lens of participation, autonomy, and environmental fit across five areas—"Mobility and Navigation Assistance" (n = 20, 41.7%), "Communication and Information Accessibility" (n = 14, 29.2%), "Smart Assistance for Daily Living" (n = 7, 14.6%), "Education and Vocational Empowerment" (n = 5, 8.3%), and "Mental Health Support and Social Inclusion" (n = 3, 6.3%)—and identifying challenges including data privacy (58.3%), inadequate training datasets (25.0%), high implementation costs (25.0%), algorithmic biases (20.8%), and limited real-world evidence of benefits (20.