Abstract

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Title:: Advances in research on artificial intelligence technology in COVID-19

Author(s):: CAI Xiaoqiong1; GUO Jinglei2; HUANG Jihan3; SU Qianmin1; 1. School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China 2. School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China 3. Center for Drug Clinical Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China

Keywords:: Keywords: corona virus disease 2019 artificial intelligence deep learning disease control and prevention review

Abstract:: Abstract: Coronavirus disease 2019 (COVID-19) is spreading rapidly worldwide and poses a serious threat to human health, livelihood, social functions and international relations. Artificial intelligence (AI) has been widely used to solve complex problems ranging from big data analysis to computer vision. During COVID-19 pandemic prevention and control, a large number of AI algorithms and models have been proposed to reduce the burden on the healthcare system, playing an important role in drug development, pandemic prediction, clinical diagnosis and other fields. Herein the recent researches on AI in COVID-19 are discussed in 5 perspectives, including aided diagnosis/detection, network information monitoring and analysis, biomedicine and drug therapy, disease tracking, identification and detection, and practical clinical applications, aiming to provide a reference for late-stage pandemic management and timely control of future outbreaks.