Department of Electric, Electronic and Computer Engineering, Technical University of Cluj-Napoca, North University Center of Baia Mare, 430083 Baia Mare, Romania.
Department of IT Systems and Networks, Faculty of Informatics, University of Debrecen, 4032 Debrecen, Hungary.
Int J Environ Res Public Health. 2022 Sep 10;19(18):11413. doi: 10.3390/ijerph191811413.
Over the last couple of years, in the context of the COVID-19 pandemic, many healthcare issues have been exacerbated, highlighting the paramount need to provide both reliable and affordable health services to remote locations by using the latest technologies such as video conferencing, data management, the secure transfer of patient information, and efficient data analysis tools such as machine learning algorithms. In the constant struggle to offer healthcare to everyone, many modern technologies find applicability in eHealth, mHealth, telehealth or telemedicine. Through this paper, we attempt to render an overview of what different technologies are used in certain healthcare applications, ranging from remote patient monitoring in the field of cardio-oncology to analyzing EEG signals through machine learning for the prediction of seizures, focusing on the role of artificial intelligence in eHealth.
在过去的几年中,在 COVID-19 大流行的背景下,许多医疗保健问题恶化了,这凸显了迫切需要利用视频会议、数据管理、患者信息安全传输以及机器学习算法等最新技术,为偏远地区提供可靠和负担得起的医疗服务。在努力为每个人提供医疗保健的过程中,许多现代技术在电子健康、移动健康、远程医疗或远程医疗中找到了应用。通过本文,我们试图概述在某些医疗保健应用中使用的不同技术,从心血管肿瘤学领域的远程患者监测到通过机器学习分析 EEG 信号以预测癫痫发作,重点介绍人工智能在电子健康中的作用。
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