Eur Rev Med Pharmacol Sci 2020; 24 (17): 9226-9233

DOI: 10.26355/eurrev_202009_22875

Artificial intelligence technology for diagnosing COVID-19 cases: a review of substantial issues

M.H. Alsharif, Y.H. Alsharif, S.A. Chaudhry, M.A. Albreem, A. Jahid, E. Hwang

Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Gwangjin-gu, Seoul, Korea. ehwang04@korea.ac.kr


Today, the world suffers from the rapid spread of COVID-19, which has claimed thousands of lives. Unfortunately, its treatment is yet to be developed. Nevertheless, this phenomenon can be decelerated by diagnosing and quarantining patients with COVID-19 at early stages, thereby saving numerous lives. In this study, the early diagnosis of this disease through artificial intelligence (AI) technology is explored. AI is a revolutionizing technology that drives new research opportunities in various fields. Although this study does not provide a final solution, it highlights the most promising lines of research on AI technology for the diagnosis of COVID-19. The major contribution of this work is a discussion on the following substantial issues of AI technology for preventing the severe effects of COVID-19: (1) rapid diagnosis and detection, (2) outbreak and prediction of virus spread, and (3) potential treatments. This study profoundly investigates these controversial research topics to achieve a precise, concrete, and concise conclusion. Thus, this study provides significant recommendations on future research directions related to COVID-19.

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To cite this article

M.H. Alsharif, Y.H. Alsharif, S.A. Chaudhry, M.A. Albreem, A. Jahid, E. Hwang
Artificial intelligence technology for diagnosing COVID-19 cases: a review of substantial issues

Eur Rev Med Pharmacol Sci
Year: 2020
Vol. 24 - N. 17
Pages: 9226-9233
DOI: 10.26355/eurrev_202009_22875