Al-Rajab Murad, Lu Joan, Amawi Saad, Elmehalawy Nourhan, Babillie Bdour, Alasmi Yazan, Ibrahim Hanan Sheikh, Ellahham Samer, Sawsaa Ahlam, Al Zraiqat Shadi
Abu Dhabi University, Abu Dhabi, UAE.
Leeds Beckett University, Leeds, UK.
Sci Rep. 2025 Aug 20;15(1):30584. doi: 10.1038/s41598-025-14624-6.
Alzheimer's disease (AD) poses significant challenges for the elderly, leading to cognitive decline, social isolation, and lower quality of life. Current interventions often require cumbersome wearable devices e.g. the camera-based monitoring that may raise privacy concerns. However, these issues are not fully addressed previously. To fill this gap, this research proposes a new framework in non-invasive combination of Virtual Reality (VR), Voice recognition, and Artificial Intelligence (AI) to act as a supportive system for people with AD. The system provides a brand-new approach that tailored cognitive stimulation and companionship through the immersive VR scenarios, memory games, virtual trips, and an AI assistant together as a single platform. The AI-based assessment of the patient is employed to ensure that the experience is more relevant and helpful to the patient. The voice recognition is the most simple and easy user-interface. The security measures include access controls, encryption and continuous monitoring of cloud patient data. The initial study has been promising evidenced by the outcome of involving patients with Alzheimer's and dementia, their families, and clinicians. Participants reported heightened interest, better quality of life, less sense of isolation, and improved cognitive functioning, which have particularly achieved one of our goals, in patients' well-beings in mental healthcare. The research indicates a significant step forward enhancing the quality of support for both cognitive function and social interaction for older adults with AD and dementia. In comparison with other currently existing systems, our newly developed integrated framework has made additional contributions to the areas of AD in dynamic cognitive adaptation, bilingual interaction, and secure real-time personalized system.
阿尔茨海默病（AD）给老年人带来了重大挑战，导致认知能力下降、社交孤立和生活质量降低。目前的干预措施通常需要笨重的可穿戴设备，例如基于摄像头的监测，这可能会引发隐私问题。然而，这些问题以前并未得到充分解决。为了填补这一空白，本研究提出了一种新的框架，将虚拟现实（VR）、语音识别和人工智能（AI）进行非侵入式结合，作为AD患者的支持系统。该系统提供了一种全新的方法，通过沉浸式VR场景、记忆游戏、虚拟旅行以及一个AI助手，在一个单一平台上共同提供量身定制的认知刺激和陪伴。采用基于AI的患者评估，以确保体验对患者更具针对性且更有帮助。语音识别是最简单易用的用户界面。安全措施包括访问控制、加密以及对云患者数据的持续监控。涉及阿尔茨海默病和痴呆症患者、他们的家人以及临床医生的初步研究结果显示出了良好的前景。参与者报告称兴趣增强、生活质量提高、孤独感减轻以及认知功能改善，这尤其实现了我们的一个目标，即改善精神卫生保健中患者的福祉。该研究表明，在提高对患有AD和痴呆症的老年人的认知功能和社交互动的支持质量方面向前迈出了重要一步。与目前现有的其他系统相比，我们新开发的集成框架在AD的动态认知适应、双语交互和安全实时个性化系统等领域做出了额外贡献。
