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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/42737
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dc.contributor.authorGudigar, Anjanen
dc.contributor.authorRaghavendra, Uen
dc.contributor.authorNayak, Snehaen
dc.contributor.authorOoi, Chui Pingen
dc.contributor.authorChan, Wai Yeeen
dc.contributor.authorGangavarapu, Mokshagna Rohiten
dc.contributor.authorDharmik, Chinmayen
dc.contributor.authorSamanth, Jyothien
dc.contributor.authorKadri, Nahrizul Adiben
dc.contributor.authorHasikin, Khairunnisaen
dc.contributor.authorBarua, Prabal Dattaen
dc.contributor.authorChakraborty, Subrataen
dc.contributor.authorCiaccio, Edward Jen
dc.contributor.authorAcharya, U Rajendraen
dc.date.accessioned2022-02-18T00:46:39Z-
dc.date.available2022-02-18T00:46:39Z-
dc.date.issued2021-12-
dc.identifier.citationSensors, 21(23), p. 1-39en
dc.identifier.issn1424-8220en
dc.identifier.issn1424-8239en
dc.identifier.urihttps://hdl.handle.net/1959.11/42737-
dc.description.abstract<p>The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and affected the livelihood of many more people. Early and rapid detection of COVID-19 is a challenging task for the medical community, but it is also crucial in stopping the spread of the SARS-CoV-2 virus. Prior substantiation of artificial intelligence (AI) in various fields of science has encouraged researchers to further address this problem. Various medical imaging modalities including X-ray, computed tomography (CT) and ultrasound (US) using AI techniques have greatly helped to curb the COVID-19 outbreak by assisting with early diagnosis. We carried out a systematic review on state-of-the-art AI techniques applied with X-ray, CT, and US images to detect COVID-19. In this paper, we discuss approaches used by various authors and the significance of these research efforts, the potential challenges, and future trends related to the implementation of an AI system for disease detection during the COVID-19 pandemic.</p>en
dc.languageenen
dc.publisherMDPI AGen
dc.relation.ispartofSensorsen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleRole of Artificial Intelligence in COVID-19 Detectionen
dc.typeJournal Articleen
dc.identifier.doi10.3390/s21238045en
dc.identifier.pmid34884045en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameAnjanen
local.contributor.firstnameUen
local.contributor.firstnameSnehaen
local.contributor.firstnameChui Pingen
local.contributor.firstnameWai Yeeen
local.contributor.firstnameMokshagna Rohiten
local.contributor.firstnameChinmayen
local.contributor.firstnameJyothien
local.contributor.firstnameNahrizul Adiben
local.contributor.firstnameKhairunnisaen
local.contributor.firstnamePrabal Dattaen
local.contributor.firstnameSubrataen
local.contributor.firstnameEdward Jen
local.contributor.firstnameU Rajendraen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailschakra3@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeSwitzerlanden
local.identifier.runningnumber8045en
local.format.startpage1en
local.format.endpage39en
local.identifier.scopusid85120344284en
local.peerreviewedYesen
local.identifier.volume21en
local.identifier.issue23en
local.access.fulltextYesen
local.contributor.lastnameGudigaren
local.contributor.lastnameRaghavendraen
local.contributor.lastnameNayaken
local.contributor.lastnameOoien
local.contributor.lastnameChanen
local.contributor.lastnameGangavarapuen
local.contributor.lastnameDharmiken
local.contributor.lastnameSamanthen
local.contributor.lastnameKadrien
local.contributor.lastnameHasikinen
local.contributor.lastnameBaruaen
local.contributor.lastnameChakrabortyen
local.contributor.lastnameCiaccioen
local.contributor.lastnameAcharyaen
dc.identifier.staffune-id:schakra3en
local.profile.orcid0000-0002-0102-5424en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/42737en
local.date.onlineversion2021-12-01-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleRole of Artificial Intelligence in COVID-19 Detectionen
local.relation.fundingsourcenoteThis research work is funded by Ministry of Higher Education, Malaysia (grant number MRUN2019-3D).en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorGudigar, Anjanen
local.search.authorRaghavendra, Uen
local.search.authorNayak, Snehaen
local.search.authorOoi, Chui Pingen
local.search.authorChan, Wai Yeeen
local.search.authorGangavarapu, Mokshagna Rohiten
local.search.authorDharmik, Chinmayen
local.search.authorSamanth, Jyothien
local.search.authorKadri, Nahrizul Adiben
local.search.authorHasikin, Khairunnisaen
local.search.authorBarua, Prabal Dattaen
local.search.authorChakraborty, Subrataen
local.search.authorCiaccio, Edward Jen
local.search.authorAcharya, U Rajendraen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/469becac-e013-4cc7-ba3b-164588ca5c9cen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000734613400001en
local.year.available2021en
local.year.published2021en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/469becac-e013-4cc7-ba3b-164588ca5c9cen
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/469becac-e013-4cc7-ba3b-164588ca5c9cen
local.subject.for2020460102 Applications in healthen
local.subject.for2020461103 Deep learningen
local.subject.for2020460308 Pattern recognitionen
local.subject.seo2020209999 Other health not elsewhere classifieden
local.subject.seo2020280115 Expanding knowledge in the information and computing sciencesen
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School of Science and Technology
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