Application of machine learning and medical imaging in the detection of COVID-19 patients: A review article

Basit Öğe Kaydı
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.issued2022
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi
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.
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_21
dc.identifier.doi10.4103/jfmpc.jfmpc_1715_21
dc.identifier.endpage2283
dc.identifier.issn2249-4863
dc.identifier.issn2278-7135
dc.identifier.issue6
dc.identifier.pmid36119307
dc.identifier.startpage2277
dc.identifier.urihttp://doi.org/10.4103/jfmpc.jfmpc_1715_21
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9736
dc.identifier.volume11
dc.identifier.wos000850120500004en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakPubMed
dc.institutionauthorYadollahi, Setareh
dc.language.isoen
dc.publisherWolters Kluwer Medknow Publications
dc.relation.ispartofJournal of Family Medicine and Primary Careen_US
dc.relation.publicationcategoryDiÄŸer
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectArtificial Intelligence
dc.subjectCOVID-19
dc.subjectMachine Learning
dc.subjectMedical Image
dc.titleApplication of machine learning and medical imaging in the detection of COVID-19 patients: A review article
dc.typeOther

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
Ä°sim:
Yadollahi-Setareh-2022.pdf
Boyut:
1.05 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
Ä°ndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
Ä°sim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
Ä°ndir

Koleksiyon

Diğer Yayınlar Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu