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

doi:10.3390/jcm10091961

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 journal › Review article › peer-review

16 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
Journal	Journal of Clinical Medicine
Volume	10
Issue number	9
DOIs	https://doi.org/10.3390/jcm10091961
Publication status	Published - May 1 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Artificial intelligence
Coronavirus
COVID-19
Deep learning
Machine learning

ASJC Scopus subject areas

General Medicine

Access to Document

10.3390/jcm10091961

Cite this

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title = "A state-of-the-art survey on artificial intelligence to fight covid-19",

abstract = "Artificial intelligence (AI) has shown immense potential to fight COVID-19 in many ways. This paper focuses primarily on AI{\textquoteright}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.",

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AU - Hsu, Min Huei

AU - Li, Yu Chuan

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AB - 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.

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KW - Coronavirus

KW - COVID-19

KW - Deep learning

KW - Machine learning

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

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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