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

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

European Review for Medical and Pharmacological Sciences, vol.24, no.17, pp.9226-9233, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Review
  • Volume: 24 Issue: 17
  • Publication Date: 2020
  • Doi Number: 10.26355/eurrev_202009_22875
  • Journal Name: European Review for Medical and Pharmacological Sciences
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE
  • Page Numbers: pp.9226-9233
  • Keywords: AI, Artificial intelligence, Big data, Coronavirus pandemic, COVID-19, Machine learning
  • Istanbul Gelisim University Affiliated: Yes

Abstract

© 2020 Verduci Editore s.r.l. All rights reserved.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.