Abdullah Alsaleh
The rapid advancement of artificial intelligence (AI) is reshaping assistive technologies, offering new possibilities for enhancing the independence, communication and quality of life of individuals with disabilities. This study presents a qualitative scoping review of 47 peer-reviewed articles published between 2018 and 2025, examining how AI has been integrated into assistive tools across domains such as mobility, communication, cognitive support, education and independent living. Specific AI applications include object recognition, gesture-based control, navigation assistance, emotion detection and natural language processing. The review highlights significant progress in personalization and real-time adaptation, while also identifying persistent challenges such as algorithmic bias, cost barriers, data privacy concerns and unequal access, particularly in low-resource settings. Ethical considerations and the need for inclusive, user-centered design approaches are emphasized. The study also underscores future research priorities, including standardization of development protocols, empirical evaluation of long-term effectiveness and policy frameworks to ensure equitable access. By synthesizing recent developments and critical gaps, this review contributes to understanding how AI can responsibly and effectively support assistive technologies, ultimately promoting more inclusive environments for people with disabilities.