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dc.contributor.authorYadollahi, Sepideh
dc.contributor.authorYadollahi, Setareh
dc.contributor.authorZanjani, Elmira
dc.contributor.authorKhaleghi, Fatemeh
dc.date.accessioned2022-09-22T10:35:55Z
dc.date.available2022-09-22T10:35:55Z
dc.date.issued2022en_US
dc.identifier.citationYadollahi, S., Yadollahi, S., Zanjani, E. ve Khaleghi, F. (2022). Application of machine learning and medical imaging in the detection of COVID-19 patients: A review article. Journal of Family Medicine and Primary Care, 11(6), 2277-2283. http://doi.org/10.4103/jfmpc.jfmpc_1715_21en_US
dc.identifier.issn2249-4863
dc.identifier.issn2278-7135
dc.identifier.urihttp://doi.org/10.4103/jfmpc.jfmpc_1715_21
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9736
dc.description.abstractIn the present study, a particular technique of artificial intelligence (AI) is applied for diagnosis and classifying medical images of patients with coronavirus disease (COVID-19). Chest radiography and laboratory-based tests are two of the most important diagnostic approaches for the detection of people with the coronavirus. Recently, a lot of studies have been carried out on using AI techniques for achieving appropriate diagnosis of COVID-19 patients using computed tomography (CT) of the chest. The present study is reviewing all available literature that have investigated the role of chest CT toward AI in the detection of COVID-19. As a novel field of computer science, AI focuses on teaching computers to be capable of learning complex tasks and decide about their solution methods. in this study, we used Matlab, Payton, and Fortran software as well as other software which are suitable for this research. In this regard, the present review study is aimed to collect the information from all the studies conducted on the role of AI as a decisive and comprehensive technology for the detection of coronavirus in patients to have a more accurate diagnosis and investigate its epidemiology.en_US
dc.language.isoengen_US
dc.publisherWolters Kluwer Medknow Publicationsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectArtificial Intelligenceen_US
dc.subjectCOVID-19en_US
dc.subjectMachine Learningen_US
dc.subjectMedical Imageen_US
dc.titleApplication of machine learning and medical imaging in the detection of COVID-19 patients: A review articleen_US
dc.typeotheren_US
dc.relation.ispartofJournal of Family Medicine and Primary Careen_US
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesien_US
dc.identifier.volume11en_US
dc.identifier.issue6en_US
dc.identifier.startpage2277en_US
dc.identifier.endpage2283en_US
dc.relation.publicationcategoryDiğeren_US
dc.identifier.doi10.4103/jfmpc.jfmpc_1715_21en_US
dc.institutionauthorYadollahi, Setareh
dc.identifier.wos000850120500004en_US
dc.identifier.pmid36119307en_US


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