Role of Artificial Intelligence in different aspects of Public Health

Hassan Anwar, Ifra Chaudhary, Umar Latif, Ali Latif
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Abstract

In the next decade of disease surveillance research, innovative and novel techniques are required to utilise massive quantities of complex and multi-dimensional data, effectively. Public health is one of the most significant domains of public governance and artificial intelligence has emerged as an innovative problem-solving technique in this domain. Artificial intelligence is a requirement for the early identification of diseases and disasters in order to prevent high mortality rates and reduce economic burden by timely providing appropriate healthcare. This detection is made possible in this research by identifying patterns in the database. This review shows that the use and development of AI techniques has increased in the field of public health over the past few years and most of the existing studies show a positive impact of AI in the domain of public health. This study is divided into three portions. The first portion reviews the role and potential usage of artificial intelligence in epidemics, since it is very important to timely investigate them and AI has the potential to cope with them. The second part of the review provides a detailed discussion about serious game usage in public health. Serious games are used for the training and rehabilitation of the gamer. The third part deals with the management of public health emergencies including evacuation, causality response, and information processing.
人工智能在公共卫生不同方面的作用
在未来十年的疾病监测研究中,需要创新和新颖的技术来有效地利用大量复杂和多维数据。公共卫生是公共治理最重要的领域之一,人工智能已经成为这一领域的一种创新的解决问题的技术。人工智能是早期识别疾病和灾害的必要条件,以便通过及时提供适当的医疗保健来防止高死亡率和减轻经济负担。在本研究中,通过识别数据库中的模式,使这种检测成为可能。这一综述表明,过去几年来,人工智能技术在公共卫生领域的使用和发展有所增加,现有的大多数研究表明,人工智能在公共卫生领域产生了积极影响。本研究分为三个部分。第一部分回顾了人工智能在流行病中的作用和潜在用途,因为及时调查流行病非常重要,而且人工智能具有应对流行病的潜力。评论的第二部分详细讨论了严肃游戏在公共卫生中的使用情况。严肃游戏是用来训练和恢复玩家的。第三部分论述突发公共卫生事件的管理,包括疏散、因果关系应对和信息处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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