Impact of Artificial Intelligence in COVID-19 Pandemic: A Comprehensive Review

Hafiz Ahsan Arshad, M. Hussain, Ahmad Amin, Muhammad Asad Arshed
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引用次数: 0

Abstract

The goals of a health-care system are, to provide effective treatment with minimum cost and risk factors, delivery of medical services on time, and be ready to counter any emergency situation. To achieve these goals, a health-care system must be well prepared. The preparation is depending upon data, and the data scientists to analyze that data. Artificial Intelligence (AI) introduced a novelty in health-care, with its different tools which are built upon Machine Learning (ML) and Deep Learning (DL) algorithms. Besides clinical procedures and treatments, these algorithms are used for analyzing data and provides help in decision making. Similarly, to tackle this pandemic Novel Coronavirus disease 2019 (COVID-19) the computer scientists played their role individually and with the help of biological scientists to provide the solutions related to risk management (How much this pandemic can spread and affect the people), diagnosis of this disease with minimum time and cost, making vaccine and, suggesting that which medical treatment should adopt.
人工智能在COVID-19大流行中的影响:综合综述
卫生保健系统的目标是以最低的成本和风险因素提供有效的治疗,按时提供医疗服务,并准备应对任何紧急情况。为了实现这些目标,卫生保健系统必须做好充分准备。准备工作取决于数据和数据科学家对数据的分析。人工智能(AI)凭借其基于机器学习(ML)和深度学习(DL)算法的不同工具,在医疗保健领域引入了一种新事物。除了临床程序和治疗之外,这些算法还用于分析数据并为决策提供帮助。同样,为了应对2019年新型冠状病毒病(COVID-19)的大流行,计算机科学家在生物科学家的帮助下发挥了各自的作用,提供了与风险管理相关的解决方案(这场大流行可以传播到多大程度并影响到人们),以最短的时间和成本诊断出这种疾病,制作疫苗,并建议应该采用哪种医疗方法。
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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