PDF(Pubmed)
Abstract：
Cognitive impairments are a prevalent consequence of acquired brain injury, dementia, and age-related cognitive decline, hampering individuals\' daily functioning and independence, with significant societal and economic implications. While neurorehabilitation represents a promising avenue for addressing these deficits, traditional rehabilitation approaches face notable limitations. First, they lack adaptability, offering one-size-fits-all solutions that may not effectively meet each patient\'s unique needs. Furthermore, the resource-intensive nature of these interventions, often confined to clinical settings, poses barriers to widespread, cost-effective, and sustained implementation, resulting in suboptimal outcomes in terms of intervention adaptability, intensity, and duration. In response to these challenges, this paper introduces NeuroAIreh@b, an innovative cognitive profiling and training methodology that uses an AI-driven framework to optimize neurorehabilitation prescription. NeuroAIreh@b effectively bridges the gap between neuropsychological assessment and computational modeling, thereby affording highly personalized and adaptive neurorehabilitation sessions. This approach also leverages virtual reality-based simulations of daily living activities to enhance ecological validity and efficacy. The feasibility of NeuroAIreh@b has already been demonstrated through a clinical study with stroke patients employing a tablet-based intervention. The NeuroAIreh@b methodology holds the potential for efficacy studies in large randomized controlled trials in the future.
摘要：
认知障碍是获得性脑损伤的普遍后果，痴呆症,和年龄相关的认知能力下降，妨碍个人的日常运作和独立性，具有重大的社会和经济影响。虽然神经康复是解决这些缺陷的一个有希望的途径，传统的康复方法面临着明显的局限性。首先,他们缺乏适应能力，提供一刀切的解决方案，可能无法有效满足每个患者的独特需求。此外，这些干预措施的资源密集型性质，通常局限于临床环境，对广泛的，成本效益高,和持续执行，导致干预适应性方面的次优结果，强度,和持续时间。为了应对这些挑战,本文介绍了NeuroAIreh@b，一种创新的认知分析和训练方法，使用AI驱动的框架来优化神经康复处方。NeuroAIreh@b有效地弥合了神经心理学评估和计算建模之间的差距，从而提供高度个性化和自适应的神经康复课程。这种方法还利用基于虚拟现实的日常生活活动模拟来增强生态有效性和有效性。NeuroAIreh@b的可行性已经通过对中风患者采用基于片剂的干预的临床研究得到证明。NeuroAIreh@b方法学具有在未来大型随机对照试验中进行疗效研究的潜力。
