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 Li

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Article number1961
JournalJournal of Clinical Medicine
Volume10
Issue number9
DOIs
Publication statusPublished - May 1 2021

Keywords

  • Artificial intelligence
  • Coronavirus
  • COVID-19
  • Deep learning
  • Machine learning

ASJC Scopus subject areas

  • Medicine(all)

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