Discussing Artificial Intelligence's Role in Combatting the COVID-19 Pandemic: A Review

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Abstract

The COVID-19 pandemic is considered one of the most dangerous diseases that have emerged in recent years, as it began at the end of 2019 in China and quickly spread to become a severe epidemic. This virus has become, in a short period of time, threatening millions of the earth's populations, and infected individuals show symptoms that may lead to the loss of their lives. In this article, the author concentrates on the significance and methods of artificial intelligence strategies in facing COVID-19 and the primary role of these technologies. AI techniques have been applied in various areas, including creating diagnostic tools, predicting disease transmission, identifying new treatments, and improving resource allocation. Moreover, these techniques have been employed to analyze medical images to find symptoms of COVID-19 in patients, speeding up diagnosis and reducing transmission risks. Public health professionals can more efficiently allocate resources thanks to machine learning models that have been trained on data from other pandemics to anticipate the spread of COVID-19 and identify possible outbreaks. Large datasets of currently available medications have also been analyzed using AI to find potential new molecules.
讨论人工智能在抗击COVID-19大流行中的作用:综述
COVID-19大流行被认为是近年来出现的最危险的疾病之一,因为它于2019年底在中国开始并迅速传播成为一种严重的流行病。这种病毒已在短时间内威胁到地球上数以百万计的人口,受感染的人表现出可能导致生命丧失的症状。本文重点阐述了人工智能战略在应对新冠疫情中的意义和方法,以及这些技术的主要作用。人工智能技术已应用于各个领域,包括创建诊断工具,预测疾病传播,确定新的治疗方法以及改善资源分配。此外,这些技术已被用于分析医学图像,以发现患者的COVID-19症状,加快诊断速度并降低传播风险。公共卫生专业人员可以更有效地分配资源,这要归功于机器学习模型,这些模型经过了其他大流行数据的培训,可以预测COVID-19的传播并识别可能的疫情。人工智能还分析了目前可用药物的大型数据集,以发现潜在的新分子。
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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