A state-of-the-art survey on artificial intelligence to fight COVID-19

M.M. Islam; T.N. Poly; B. Alsinglawi; M.C. Lin; M.-H. Hsu; Y.-C. Li

doi:10.3390/jcm10091961

A state-of-the-art survey on artificial intelligence to fight COVID-19

M.M. Islam, T.N. Poly, B. Alsinglawi, M.C. Lin, M.-H. Hsu, Y.-C. Li

Western Sydney University

Research output: Contribution to journal › Article › peer-review

13 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 language	English
Article number	1961
Number of pages	17
Journal	Journal of Clinical Medicine
Volume	10
Issue number	9
DOIs	https://doi.org/10.3390/jcm10091961
Publication status	Published - 1 May 2021

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Open Access - Access Right Statement

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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10.3390/jcm10091961

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A state-of-the-art survey on artificial intelligence to fight COVID-19

Abstract

Bibliographical note

Open Access - Access Right Statement

UN SDGs

Access to Document

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