Suppr超能文献

ClinicalTrials.gov上关于数字健康技术在神经学试验中发展情况的证据。

Evidence from ClinicalTrials.gov on the growth of Digital Health Technologies in neurology trials.

作者信息

Masanneck Lars, Gieseler Pauline, Gordon William J, Meuth Sven G, Stern Ariel D

机构信息

Department of Neurology, Medical Faculty University Hospital Düsseldorf, Düsseldorf, Germany.

Hasso Plattner Institute, University of Potsdam, Potsdam, Germany.

出版信息

NPJ Digit Med. 2023 Feb 10;6(1):23. doi: 10.1038/s41746-023-00767-1.

Abstract

Digital Health Technologies (DHTs) such as connected sensors offer particular promise for improving data collection and patient empowerment in neurology research and care. This study analyzed the recent evolution of the use of DHTs in trials registered on ClinicalTrials.gov for four chronic neurological disorders: epilepsy, multiple sclerosis, Alzheimer's, and Parkinson's disease. We document growth in the collection of both more established digital measures (e.g., motor function) and more novel digital measures (e.g., speech) over recent years, highlighting contexts of use and key trends.

摘要

数字健康技术(DHTs),如连接传感器,在改善神经学研究与护理中的数据收集以及增强患者权能方面具有独特的前景。本研究分析了在ClinicalTrials.gov上注册的针对四种慢性神经疾病(癫痫、多发性硬化症、阿尔茨海默病和帕金森病)的试验中DHTs使用情况的近期演变。我们记录了近年来在收集更成熟的数字测量指标(如运动功能)和更新颖的数字测量指标(如语音)方面的增长情况,突出了使用背景和关键趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afa8/9918454/91f4cefb9434/41746_2023_767_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验