Giansanti Daniele, Pirrera Antonia
Centro TISP, ISS, Via Regina Elena 299, 00161 Rome, Italy.
Healthcare (Basel). 2025 Mar 4;13(5):556. doi: 10.3390/healthcare13050556.
The integration of artificial intelligence (AI) into assistive technologies is an emerging field with transformative potential, aimed at enhancing autonomy and quality of life for individuals with disabilities and aging populations. This overview of reviews, utilizing a standardized checklist and quality control procedures, examines recent advancements and future implications in this domain. The search for articles for the review was finalized by 15 December 2024. Nineteen review studies were selected through a systematic process identifying prevailing themes, opportunities, challenges, and recommendations regarding the integration of AI in assistive technologies. First, AI is increasingly central to improving mobility, healthcare diagnostics, and cognitive support, enabling personalized and adaptive solutions for users. The integration of AI into traditional assistive technologies, such as smart wheelchairs and exoskeletons, enhances their performance, creating more intuitive and responsive devices. Additionally, AI is improving the inclusion of children with autism spectrum disorders, promoting social interaction and cognitive development through innovative devices. The review also identifies significant opportunities and challenges. AI-powered assistive technologies offer enormous potential to increase independence, reduce reliance on external support, and improve communication for individuals with cognitive disorders. However, challenges such as personalization, digital literacy among the elderly, and privacy concerns in healthcare contexts need to be addressed. Notably, AI itself is expanding the concept of assistive technology, shifting from traditional tools to intelligent systems capable of learning and adapting to individual needs. This evolution represents a fundamental change in assistive technology, emphasizing dynamic, adaptive systems over static solutions. Finally, the study emphasizes the growing economic investment in this sector, forecasting significant market growth, with AI-driven assistive devices poised to transform the landscape. Despite challenges such as high development costs and regulatory hurdles, opportunities for innovation and affordability remain. This review underscores the importance of addressing challenges related to standardization, accessibility, and ethical considerations to ensure the successful integration of AI into assistive technologies, fostering greater inclusivity and improved quality of life for users globally.
将人工智能(AI)集成到辅助技术中是一个具有变革潜力的新兴领域,旨在提高残疾人和老年人群体的自主性和生活质量。本综述采用标准化清单和质量控制程序,审视了该领域的最新进展和未来影响。此次综述的文章检索于2024年12月15日完成。通过系统流程筛选出19项综述研究,确定了有关人工智能在辅助技术中集成的主要主题、机遇、挑战和建议。首先,人工智能在改善移动性、医疗诊断和认知支持方面日益关键,能够为用户提供个性化和自适应解决方案。将人工智能集成到传统辅助技术中,如智能轮椅和外骨骼,可提升其性能,打造出更直观、响应更灵敏的设备。此外,人工智能正在改善自闭症谱系障碍儿童的融入情况,通过创新设备促进社交互动和认知发展。该综述还确定了重大机遇和挑战。人工智能驱动的辅助技术在增强认知障碍者的独立性、减少对外部支持的依赖以及改善沟通方面具有巨大潜力。然而,诸如个性化、老年人的数字素养以及医疗保健环境中的隐私问题等挑战需要加以解决。值得注意的是,人工智能本身正在扩展辅助技术的概念,从传统工具转变为能够学习和适应个人需求的智能系统。这种演变代表了辅助技术的根本性变化,强调动态、自适应系统而非静态解决方案。最后,该研究强调了该领域不断增长的经济投资,预测市场将大幅增长,人工智能驱动的辅助设备有望改变这一局面。尽管存在开发成本高和监管障碍等挑战,但创新和可负担性的机遇依然存在。本综述强调了应对与标准化、可及性和伦理考量相关挑战的重要性,以确保人工智能成功集成到辅助技术中,为全球用户带来更大的包容性和更高的生活质量。