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人工智能在环境公共健康理疗护理老年人群体中的感知研究。

Perception Research of Artificial Intelligence in Environmental Public Health Physiotherapy Nursing for the Elderly.

机构信息

School of Education, Fuzhou University of International Studies and Trade, 350000, China.

Nanjing Institute of Technology, 210000, China.

出版信息

J Environ Public Health. 2022 Sep 10;2022:2124710. doi: 10.1155/2022/2124710. eCollection 2022.

DOI:10.1155/2022/2124710
PMID:36124248
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9482517/
Abstract

This perceptual study focuses on developing artificial intelligence for elderly care design. It analyses and discusses the role of artificial intelligence in elderly care and its application to physiotherapy care. Artificial intelligence, as an emerging disruptive technology, is releasing the enormous energy accumulated in the technological and industrial revolutions, profoundly transforming how humans produce, live, and think about the world. Economic development and social progress are significantly impacted by it, and it has a great deal of practicality and broad application scope. Although there is a basic consensus in the 18 public understanding of AI, there is still some ambiguity and misunderstanding, knowing what is happening without understanding why. As a result, it is necessary to systematize and gain a comprehensive understanding of this concept and its associated practices.

摘要

本感知研究专注于为老年护理设计开发人工智能。它分析和讨论了人工智能在老年护理中的作用及其在物理治疗护理中的应用。人工智能作为一种新兴的颠覆性技术,正在释放技术和工业革命积累的巨大能量,深刻改变着人类认识世界、改造世界、创造世界的方式。它对经济发展和社会进步具有十分重要的影响,具有很强的实用性和广泛的应用领域。虽然在 18 项公众对人工智能的基本理解中有一个基本共识,但仍然存在一些模糊和误解,即知其然而不知其所以然。因此,有必要对这个概念及其相关实践进行系统化和全面理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43dc/9482517/7bdffba14b22/JEPH2022-2124710.007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43dc/9482517/ca233ffeaa18/JEPH2022-2124710.005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43dc/9482517/7bdffba14b22/JEPH2022-2124710.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43dc/9482517/5bc6c592da20/JEPH2022-2124710.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43dc/9482517/4ba67ce04ed8/JEPH2022-2124710.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43dc/9482517/1b2b2015d22f/JEPH2022-2124710.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43dc/9482517/2d2df0888f1c/JEPH2022-2124710.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43dc/9482517/ca233ffeaa18/JEPH2022-2124710.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43dc/9482517/3f77ad75ad54/JEPH2022-2124710.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43dc/9482517/7bdffba14b22/JEPH2022-2124710.007.jpg

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Retracted: Perception Research of Artificial Intelligence in Environmental Public Health Physiotherapy Nursing for the Elderly.撤回:老年人环境公共卫生物理治疗护理中人工智能的感知研究。
J Environ Public Health. 2023 Sep 27;2023:9861381. doi: 10.1155/2023/9861381. eCollection 2023.

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3
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4
Physiological and perceptual responses in the elderly to simulated daily living activities in UK summer climatic conditions.老年人在英国夏季气候条件下模拟日常生活活动的生理和感知反应。
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5
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IEEE J Biomed Health Inform. 2017 Jan;21(1):4-21. doi: 10.1109/JBHI.2016.2636665. Epub 2016 Dec 29.
6
Differences in acoustic and perceptual parameters of the voice between elderly and young women at habitual and high intensity.老年女性与年轻女性在习惯性和高强度发声时嗓音的声学及感知参数差异。
Acta Otorrinolaringol Esp. 2014 Mar-Apr;65(2):76-84. doi: 10.1016/j.otorri.2013.07.009. Epub 2014 Jan 16.