PDF(Pubmed)
Abstract：
Parkinson\'s disease (PD) is the second most frequent neurodegenerative disorder following Alzheimer\'s disease. Advanced stages of PD, 4 or 5 of the Hoehn and Yahr Scale, are characterized by severe motor complications, limited mobility without assistance, risk of falling, and non-motor complications. The aim of this review was to provide a practical overview on specific artificial intelligence (AI) systems for the management of advanced stages of PD, as well as relevant technological limitations. The authors conducted a systematic search on PubMed and EMBASE with predefined keywords searching for studies published until December 2020. Full articles that satisfied the inclusion criteria were included in the systematic review. To minimize results bias, the reference list was manually searched for pertinent articles to identify any additional relevant missed publications. Exclusion criteria included the following: Other stages of PD than 4 and 5 of the Hoehn and Yahr Scale, case reports, reviews, practice guidelines, commentaries, opinions, letters, editorials, short surveys, articles in press, conference abstracts, conference papers, and abstracts published without a full article. The search identified 21 studies analyzing AI-based applications and robotic systems used for the management of advanced stages of PD, out of which 6 articles analyzed AI-based applications for autonomous management of pharmacologic therapy, 5 articles analyzed home-based telemedicine systems and 10 articles analysed robot-assisted gait training systems. The authors identified significant evidence demonstrating that current AI-based technologies are feasible for automatic management of patients with advanced stages of PD. Improving the quality of care and reducing the cost for patients and healthcare systems are the most important advantages.
摘要：
帕金森病（PD）是继阿尔茨海默病之后第二常见的神经退行性疾病。PD的高级阶段，Hoehn和Yahr量表的4或5，以严重的运动并发症为特征，在没有帮助的情况下流动性有限，跌倒的风险,和非运动并发症。这项审查的目的是提供有关特定人工智能（AI）系统的实用概述，以管理PD的高级阶段，以及相关的技术限制。作者对PubMed和EMBASE进行了系统搜索，使用预定义的关键词搜索2020年12月之前发表的研究。符合纳入标准的完整文章被纳入系统评价。为了最小化结果偏差，手动搜索参考文献列表中的相关文章,以确定任何其他相关遗漏出版物.排除标准包括以下内容：PD的其他阶段，而不是Hoehn和Yahr量表的4和5，病例报告,reviews,实践指南，评论,意见,信件,社论,短期调查，报纸上的文章，会议摘要，会议文件,和摘要发表没有完整的文章。该搜索确定了21项研究，分析了用于管理PD高级阶段的基于AI的应用程序和机器人系统，其中6篇文章分析了基于人工智能的药物治疗自主管理应用，5篇文章分析了基于家庭的远程医疗系统，10篇文章分析了机器人辅助步态训练系统。作者发现了重要的证据，表明当前基于AI的技术对于晚期PD患者的自动管理是可行的。提高护理质量并降低患者和医疗保健系统的成本是最重要的优势。
