Application of machine learning and medical imaging in the detection of COVID-19 patients: A review article
In 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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2022-01-01
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| Series: | Journal of Family Medicine and Primary Care |
| Subjects: | |
| Online Access: | http://www.jfmpc.com/article.asp?issn=2249-4863;year=2022;volume=11;issue=6;spage=2277;epage=2283;aulast=Yadollahi |
| _version_ | 1828269612330909696 |
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| author | Sepideh Yadollahi Setareh Yadollahi Elmira Zanjani Fatemeh Khaleghi |
| author_facet | Sepideh Yadollahi Setareh Yadollahi Elmira Zanjani Fatemeh Khaleghi |
| author_sort | Sepideh Yadollahi |
| collection | DOAJ |
| description | In 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. |
| first_indexed | 2024-04-13T05:33:10Z |
| format | Article |
| id | doaj.art-6e03469e64104926b3eafd080e2f1a01 |
| institution | Directory Open Access Journal |
| issn | 2249-4863 |
| language | English |
| last_indexed | 2024-04-13T05:33:10Z |
| publishDate | 2022-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Family Medicine and Primary Care |
| spelling | doaj.art-6e03469e64104926b3eafd080e2f1a012022-12-22T03:00:22ZengWolters Kluwer Medknow PublicationsJournal of Family Medicine and Primary Care2249-48632022-01-011162277228310.4103/jfmpc.jfmpc_1715_21Application of machine learning and medical imaging in the detection of COVID-19 patients: A review articleSepideh YadollahiSetareh YadollahiElmira ZanjaniFatemeh KhaleghiIn 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.http://www.jfmpc.com/article.asp?issn=2249-4863;year=2022;volume=11;issue=6;spage=2277;epage=2283;aulast=Yadollahiartificial intelligencecovid-19machine learningmedical image |
| spellingShingle | Sepideh Yadollahi Setareh Yadollahi Elmira Zanjani Fatemeh Khaleghi Application of machine learning and medical imaging in the detection of COVID-19 patients: A review article Journal of Family Medicine and Primary Care artificial intelligence covid-19 machine learning medical image |
| title | Application of machine learning and medical imaging in the detection of COVID-19 patients: A review article |
| title_full | Application of machine learning and medical imaging in the detection of COVID-19 patients: A review article |
| title_fullStr | Application of machine learning and medical imaging in the detection of COVID-19 patients: A review article |
| title_full_unstemmed | Application of machine learning and medical imaging in the detection of COVID-19 patients: A review article |
| title_short | Application of machine learning and medical imaging in the detection of COVID-19 patients: A review article |
| title_sort | application of machine learning and medical imaging in the detection of covid 19 patients a review article |
| topic | artificial intelligence covid-19 machine learning medical image |
| url | http://www.jfmpc.com/article.asp?issn=2249-4863;year=2022;volume=11;issue=6;spage=2277;epage=2283;aulast=Yadollahi |
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