Wang Haishuai, Jia Shangru, Li Zhao, Duan Yucong, Tao Guangyu, Zhao Ziping
College of Computer Science, Zhejiang University, Hangzhou, China.
Department of Computer and Information Engineering, Tianjin Normal University, Tianjin, China.
Front Genet. 2022 Apr 26;13:845305. doi: 10.3389/fgene.2022.845305. eCollection 2022.
The unprecedented outbreak of the Corona Virus Disease 2019 (COVID-19) pandemic has seriously affected numerous countries in the world from various aspects such as education, economy, social security, public health, etc. Most governments have made great efforts to control the spread of COVID-19, e.g., locking down hard-hit cities and advocating masks for the population. However, some countries and regions have relatively poor medical conditions in terms of insufficient medical equipment, hospital capacity overload, personnel shortage, and other problems, resulting in the large-scale spread of the epidemic. With the unique advantages of Artificial Intelligence (AI), it plays an extremely important role in medical imaging, clinical data, drug development, epidemic prediction, and telemedicine. Therefore, AI is a powerful tool that can help humans solve complex problems, especially in the fight against COVID-19. This study aims to analyze past research results and interpret the role of Artificial Intelligence in the prevention and treatment of COVID-19 from five aspects. In this paper, we also discuss the future development directions in different fields and prove the validity of the models through experiments, which will help researchers develop more efficient models to control the spread of COVID-19.
2019年冠状病毒病（COVID-19）大流行的空前爆发从教育、经济、社会保障、公共卫生等各个方面严重影响了世界上众多国家。大多数政府都做出了巨大努力来控制COVID-19的传播，例如封锁重灾区城市并倡导民众佩戴口罩。然而，一些国家和地区在医疗条件方面相对较差，存在医疗设备不足、医院容量过载、人员短缺等问题，导致疫情大规模传播。凭借人工智能（AI）的独特优势，它在医学成像、临床数据、药物研发、疫情预测和远程医疗等方面发挥着极其重要的作用。因此，AI是一种能够帮助人类解决复杂问题的强大工具，尤其是在抗击COVID-19方面。本研究旨在分析以往的研究成果，并从五个方面阐述人工智能在COVID-19防治中的作用。在本文中，我们还讨论了不同领域的未来发展方向，并通过实验证明模型的有效性，这将有助于研究人员开发更高效的模型来控制COVID-19的传播。
