环境智能
工作流程
透明度(行为)
医疗保健
计算机科学
人机交互
数据科学
比例(比率)
人工智能
计算机安全
经济增长
量子力学
数据库
物理
经济
作者
Albert Haque,Arnold Milstein,Feifei Li
出处
期刊:Nature
[Springer Nature]
日期:2020-09-09
卷期号:585 (7824): 193-202
被引量:155
标识
DOI:10.1038/s41586-020-2669-y
摘要
Advances in machine learning and contactless sensors have given rise to ambient intelligence—physical spaces that are sensitive and responsive to the presence of humans. Here we review how this technology could improve our understanding of the metaphorically dark, unobserved spaces of healthcare. In hospital spaces, early applications could soon enable more efficient clinical workflows and improved patient safety in intensive care units and operating rooms. In daily living spaces, ambient intelligence could prolong the independence of older individuals and improve the management of individuals with a chronic disease by understanding everyday behaviour. Similar to other technologies, transformation into clinical applications at scale must overcome challenges such as rigorous clinical validation, appropriate data privacy and model transparency. Thoughtful use of this technology would enable us to understand the complex interplay between the physical environment and health-critical human behaviours. Breakthroughs in artificial intelligence and low-cost, contactless sensors have given rise to an ambient intelligence that can potentially improve the physical execution of healthcare delivery, if used in a thoughtful manner.
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