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

Research output: Contribution to journalReview articlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)9226-9233
Number of pages8
JournalEuropean Review for Medical and Pharmacological Sciences
Volume24
Issue number17
DOIs
Publication statusPublished - 2020

Keywords

  • AI
  • Artificial intelligence
  • Big data
  • COVID-19
  • Coronavirus pandemic
  • Machine learning

ASJC Scopus subject areas

  • Pharmacology (medical)

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