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

Haishuai Wang; Shangru Jia; Zhao Li; Yucong Duan; Guangyu Tao; Ziping Zhao

doi:10.3389/fgene.2022.845305

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

Front Genet. 2022 Apr 26:13:845305. doi: 10.3389/fgene.2022.845305. eCollection 2022.

Authors

Haishuai Wang¹, Shangru Jia², Zhao Li³, Yucong Duan⁴, Guangyu Tao⁵, Ziping Zhao²

Affiliations

¹ College of Computer Science, Zhejiang University, Hangzhou, China.
² Department of Computer and Information Engineering, Tianjin Normal University, Tianjin, China.
³ Alibaba-ZJU Joint Research Institute of Frontier Technologies, Zhejiang University, Hangzhou, China.
⁴ College of Computer Science and Technology, Hainan University, Haikou, China.
⁵ Department of Radiology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.

Abstract

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.

Keywords: Artificial Intelligence; COVID-19; COVID-19 review; Pandemic Prediction; clinical diagnosis; medical imaging; pandemic; telemedicine.

Publication types

Systematic Review