Cited by 211COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and EducationHealthcare during COVID-19 Pandemic

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Applications of artificial intelligence in battling against covid-19: A literature review

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Tayarani N., Mohammad-H.·2021·Chaos, Solitons & Fractals

DOI 10.1016/j.chaos.2020.110338PMC PMC7532790

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Abstract

Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of grave concern for every country around the world. The rapid growth of the pandemic has wreaked havoc and prompted the need for immediate reactions to curb the effects. To manage the problems, many research in a variety of area of science have started studying the issue. Artificial Intelligence is among the area of science that has found great applications in tackling the problem in many aspects. Here, we perform an overview on the applications of AI in a variety of fields including diagnosis of the disease via different types of tests and symptoms, monitoring patients, identifying severity of a patient, processing covid-19 related imaging tests, epidemiology, pharmaceutical studies, etc. The aim of this paper is to perform a comprehensive survey on the applications of AI in battling against the difficulties the outbreak has caused. Thus we cover every way that AI approaches have been employed and to cover all the research until the writing of this paper. We try organize the works in a way that overall picture is comprehensible. Such a picture, although full of details, is very helpful in understand where AI sits in current pandemonium. We also tried to conclude the paper with ideas on how the problems can be tackled in a better way and provide some suggestions for future works.

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Data Analytics: COVID-19 Prediction Using Multimodal Data
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An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings
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A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans
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Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network ApproachPreprint
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Role of Artificial Intelligence in Transforming the Justice Delivery System in COVID-19 PandemicPreprint
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Measuring Human and Economic Activity From Satellite Imagery to Support City-Scale Decision-Making During COVID-19 Pandemic
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Dynamic Hybrid Model to Forecast the Spread of COVID-19 Using LSTM and Behavioral Models Under Uncertainty
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COVID-19 Epidemic in Switzerland: Growth Prediction and Containment Strategy Using Artificial Intelligence and Big DataPreprint
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Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches
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Authors: Tayarani N., M.-H.
ORCID: Tayarani N., Mohammad-H.
Venue: Chaos, Solitons & Fractals
Publisher: Elsevier BV
Published: 2021-01
Volume: 142
Pages: 110338
ISSN: 0960-0779 (ISSN-L)
DOI: 10.1016/j.chaos.2020.110338
PMC: PMC7532790
OpenAlex: W3089349608
Cited by: 210
References: 881
Citations by year: 2026: 4 · 2025: 9 · 2024: 20 · 2023: 40 · 2022: 49 · 2021: 86
FWCI: 6.52
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Chaos Solitons & Fractals (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
University of Hertfordshire Research Archive (University of Hertfordshire) (submittedVersion, other-oa)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › COVID-19 diagnosis using AI
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Physical Sciences › Computer Science › Information Systems › Healthcare during COVID-19 Pandemic
Keywords: COVID-19 pandemic, artificial intelligence applications, SARS-CoV-2, COVID-19 diagnosis, symptom-based diagnosis, patient monitoring, disease severity prediction, medical image analysis, drug discovery, pandemic response

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