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智能健康:基于感知的监测和疾病诊断中人工智能的进展和益处。

Intelligent Health: Progress and Benefit of Artificial Intelligence in Sensing-Based Monitoring and Disease Diagnosis.

机构信息

Department of Media and Digital Culture, Instituto Tecnológico y de Estudios Superiores de Monterrey, Mexico City 01389, Mexico.

出版信息

Sensors (Basel). 2023 Nov 8;23(22):9053. doi: 10.3390/s23229053.

Abstract

Technology has progressed and allows people to go further in multiple fields related to social issues. Medicine cannot be the exception, especially nowadays, when the COVID-19 pandemic has accelerated the use of technology to continue living meaningfully, but mainly in giving consideration to people who remain confined at home with health issues. Our research question is: how can artificial intelligence (AI) translated into technological devices be used to identify health issues, improve people's health, or prevent severe patient damage? Our work hypothesis is that technology has improved so much during the last decades that Medicine cannot remain apart from this progress. It must integrate technology into treatments so proper communication between intelligent devices and human bodies could better prevent health issues and even correct those already manifested. Consequently, we will answer: what has been the progress of Medicine using intelligent sensor-based devices? Which of those devices are the most used in medical practices? Which is the most benefited population, and what do physicians currently use this technology for? Could sensor-based monitoring and disease diagnosis represent a difference in how the medical takes place nowadays, favouring prevention as opposed to healing?

摘要

技术的进步使人们能够在与社会问题相关的多个领域中取得更大的进展。医学也不例外,尤其是在 COVID-19 大流行加速了技术的使用,使人们能够继续有意义地生活,特别是考虑到那些因健康问题而被限制在家中的人。我们的研究问题是:人工智能(AI)如何转化为技术设备,用于识别健康问题、改善人们的健康状况或预防严重的患者损伤?我们的工作假设是,在过去几十年中,技术已经取得了如此大的进步,以至于医学不能置身于这一进步之外。它必须将技术融入到治疗中,以便智能设备和人体之间能够进行适当的通信,从而更好地预防健康问题,甚至纠正已经出现的问题。因此,我们将回答:医学利用智能基于传感器的设备取得了哪些进展?在医学实践中最常用的是哪些设备?受益最大的人群是哪些,以及医生目前将这项技术用于什么?基于传感器的监测和疾病诊断是否可以代表医学治疗方式的改变,从治疗转向预防?

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597d/10675666/5302186c89dd/sensors-23-09053-g001.jpg

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