A Comprehensive Review of Artificial Intelligence in Prevention and Treatment of COVID-19 Pandemic

Frontiers in Genetics

Zhao Li¹  Yucong Duan²  Haishuai Wang³  Ziping Zhao⁴  Shangru Jia⁴  Guangyu Tao⁵ 

[1] Alibaba-ZJU Joint Research Institute of Frontier Technologies, Zhejiang University, Hangzhou, China;College of Computer Science and Technology, Hainan University, Haikou, China;College of Computer Science, Zhejiang University, Hangzhou, China;Department of Computer and Information Engineering, Tianjin Normal University, Tianjin, China;Department of Radiology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China;

关键词: Artificial Intelligence;    clinical diagnosis;    COVID-19;    medical imaging;    Pandemic Prediction;    pandemic;   

DOI  :  10.3389/fgene.2022.845305

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown