人工智能与远程医疗可能为流行病提供早期预警。

Artificial Intelligence and Telehealth may Provide Early Warning of Epidemics.

作者信息

Arslan Janan, Benke Kurt K

机构信息

Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, Australia.

Department of Surgery, Ophthalmology, University of Melbourne, Melbourne, VIC, Australia.

出版信息

Front Artif Intell. 2021 Jan 29;4:556848. doi: 10.3389/frai.2021.556848. eCollection 2021.

DOI:10.3389/frai.2021.556848

PMID:33733230

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7878557/

Abstract

The COVID-19 pandemic produced a very sudden and serious impact on public health around the world, greatly adding to the burden of overloaded professionals and national medical systems. Recent medical research has demonstrated the value of using online systems to predict emerging spatial distributions of transmittable diseases. Concerned internet users often resort to online sources in an effort to explain their medical symptoms. This raises the prospect that incidence of COVID-19 may be tracked online by search queries and social media posts analyzed by advanced methods in data science, such as Artificial Intelligence. Online queries can provide early warning of an impending epidemic, which is valuable information needed to support planning timely interventions. Identification of the location of clusters geographically helps to support containment measures by providing information for decision-making and modeling.

摘要

新冠疫情对全球公共卫生造成了极其突然且严重的影响，极大地加重了不堪重负的专业人员和国家医疗系统的负担。近期医学研究表明，利用在线系统预测传染病新出现的空间分布具有重要价值。忧心忡忡的互联网用户常常借助在线资源来解释自己的医学症状。这就引发了一种可能性，即通过数据科学中的先进方法（如人工智能）分析搜索查询和社交媒体帖子，从而在网上追踪新冠疫情的发病率。在线查询能够对即将到来的疫情发出早期预警，这是支持及时规划干预措施所需的宝贵信息。从地理上确定聚集区的位置，有助于通过提供决策和建模信息来支持防控措施。