%0 Journal Article
%@ 1438-8871
%I JMIR Publications
%V 22
%N 10
%P e21476
%T Artificial Intelligence for COVID-19: Rapid Review
%A Chen,Jiayang
%A See,Kay Choong
%+ Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore, 117597, Singapore, 65 84369198, jiayang_chen1997@live.com
%K coronavirus
%K deep learning
%K machine learning
%K medical informatics
%K computing
%K SARS virus
%K COVID-19
%K artificial intelligence
%K review
%D 2020
%7 27.10.2020
%9 Review
%J J Med Internet Res
%G English
%X Background: COVID-19 was first discovered in December 2019 and has since evolved into a pandemic. Objective: To address this global health crisis, artificial intelligence (AI) has been deployed at various levels of the health care system. However, AI has both potential benefits and limitations. We therefore conducted a review of AI applications for COVID-19. Methods: We performed an extensive search of the PubMed and EMBASE databases for COVID-19–related English-language studies published between December 1, 2019, and March 31, 2020. We supplemented the database search with reference list checks. A thematic analysis and narrative review of AI applications for COVID-19 was conducted. Results: In total, 11 papers were included for review. AI was applied to COVID-19 in four areas: diagnosis, public health, clinical decision making, and therapeutics. We identified several limitations including insufficient data, omission of multimodal methods of AI-based assessment, delay in realization of benefits, poor internal/external validation, inability to be used by laypersons, inability to be used in resource-poor settings, presence of ethical pitfalls, and presence of legal barriers. AI could potentially be explored in four other areas: surveillance, combination with big data, operation of other core clinical services, and management of patients with COVID-19. Conclusions: In view of the continuing increase in the number of cases, and given that multiple waves of infections may occur, there is a need for effective methods to help control the COVID-19 pandemic. Despite its shortcomings, AI holds the potential to greatly augment existing human efforts, which may otherwise be overwhelmed by high patient numbers. 
%M 32946413
%R 10.2196/21476
%U http://www.jmir.org/2020/10/e21476/
%U https://doi.org/10.2196/21476
%U http://www.ncbi.nlm.nih.gov/pubmed/32946413