人工智能辅助数字治疗中风后失语康复的有效性:系统综述。

IF 2.8 3区 医学 Q3 NEUROSCIENCES
Yamil Liscano, Lina Marcela Bernal, Jhony Alejandro Díaz Vallejo
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引用次数: 0

摘要

背景:传统的失语症治疗往往受到剂量不足的限制,这是人工智能辅助的数字治疗即将克服的障碍。然而,目前尚不清楚在特定任务上的收获是否转化为功能性的、现实世界的交流。本系统综述评估了这些新型干预措施的有效性,并调查了与常规治疗方法相比,卒中后失语康复的“推广差距”。方法:遵循PRISMA指南,我们系统地回顾了来自6个数据库的随机对照试验(2010-2024)。我们纳入了针对慢性中风后失语症成人的人工智能数字平台的研究,这些研究报告了标准化的语言结果。结果:我们对5项试验(n = 366)的分析表明,人工智能辅助疗法成功地提供了大剂量干预,导致训练后的语言技能显著提高,包括单词检索(高达16.4%的增益)和听觉理解。然而,一个关键的“泛化差距”一直被确定:这些损伤水平的增益很少转移到功能性的、现实世界的交流中。结论:人工智能辅助数字疗法有效解决失语护理中的剂量问题,改善特异性语言缺陷。它们的主要限制是不能将技能推广到日常使用中。因此,未来的平台必须战略性地重新设计,以纳入明确针对技能转移的治疗原则,弥合临床改善和功能沟通之间的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effectiveness of AI-Assisted Digital Therapies for Post-Stroke Aphasia Rehabilitation: A Systematic Review.

Background: Traditional aphasia therapy is often limited by insufficient dosage, a barrier that AI-assisted digital therapies are poised to overcome. However, it remains unclear whether gains on specific tasks translate to functional, real-world communication. This systematic review evaluates the effectiveness of these novel interventions and investigates the potential for a "generalization gap" when compared to conventional treatments for post-stroke aphasia rehabilitation. Methods: Following PRISMA guidelines, we systematically reviewed randomized controlled trials (2010-2024) from six databases. We included studies examining AI-powered digital platforms for adults with chronic post-stroke apha-sia that reported standardized language outcomes. Results: Our analysis of five trials (n = 366) shows that AI-assisted therapies successfully deliver high-dose interventions, leading to significant improvements in trained language skills, including word retrieval (up to 16.4% gain) and auditory comprehension. However, a critical "generalization gap" was consistently identified: these impairment-level gains rarely transferred to functional, real-world communication. Conclusions: AI-assisted digital therapies effectively solve the dosage problem in aphasia care and improve specific linguistic deficits. Their primary limitation is the failure to generalize skills to everyday use. Future platforms must therefore be strategically redesigned to incorporate therapeutic principles that explicitly target the transfer of skills, bridging the gap between clinical improvement and functional communication.

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来源期刊
Brain Sciences
Brain Sciences Neuroscience-General Neuroscience
CiteScore
4.80
自引率
9.10%
发文量
1472
审稿时长
18.71 days
期刊介绍: Brain Sciences (ISSN 2076-3425) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes and short communications in the areas of cognitive neuroscience, developmental neuroscience, molecular and cellular neuroscience, neural engineering, neuroimaging, neurolinguistics, neuropathy, systems neuroscience, and theoretical and computational neuroscience. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files or software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.
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