A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19

Md Mohaimenul Islam; Tahmina Nasrin Poly; Belal Alsinglawi; Ming Chin Lin; Min-Huei Hsu; Yu-Chuan Jack Li

doi:10.3390/jcm10091961

A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19

J Clin Med. 2021 May 2;10(9):1961. doi: 10.3390/jcm10091961.

Authors

Md Mohaimenul Islam^{1

2

3}, Tahmina Nasrin Poly^{1

2

3}, Belal Alsinglawi⁴, Ming Chin Lin^{1

5

6}, Min-Huei Hsu⁷, Yu-Chuan Jack Li^{1

2

3

8

9}

Affiliations

¹ Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan.
² International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei 110301, Taiwan.
³ Research Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei 110301, Taiwan.
⁴ School of Computer, Data and Mathematical Sciences, Parramatta South Campus Western, Sydney University, Sydney, NSW 2116, Australia.
⁵ Department of Neurosurgery, Shuang Ho Hospital, Taipei Medical University, Taipei 110301, Taiwan.
⁶ Professional Master Program in Artificial Intelligence in Medicine, Taipei Medical University, Taipei 110301, Taiwan.
⁷ Graduate Institute of Data Science, Taipei Medical University, Taipei 110301, Taiwan.
⁸ Department of Dermatology, Wan Fang Hospital, Taipei 116081, Taiwan.
⁹ TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei 110301, Taiwan.

Abstract

Artificial intelligence (AI) has shown immense potential to fight COVID-19 in many ways. This paper focuses primarily on AI's role in managing COVID-19 using digital images, clinical and laboratory data analysis, and a summary of the most recent articles published last year. We surveyed the use of AI for COVID-19 detection, screening, diagnosis, the progression of severity, mortality, drug repurposing, and other tasks. We started with the technical overview of all models used to fight the COVID-19 pandemic and ended with a brief statement of the current state-of-the-art, limitations, and challenges.

Keywords: COVID-19; artificial intelligence; coronavirus; deep learning; machine learning.

Publication types

Review