Application of machine learning and medical imaging in the detection of COVID-19 patients: A review article.
Artificial intelligence
COVID-19
machine learning
medical image
Journal
Journal of family medicine and primary care
ISSN: 2249-4863
Titre abrégé: J Family Med Prim Care
Pays: India
ID NLM: 101610082
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
received:
25
05
2021
revised:
17
08
2021
accepted:
13
12
2021
entrez:
19
9
2022
pubmed:
20
9
2022
medline:
20
9
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 36119307
doi: 10.4103/jfmpc.jfmpc_1715_21
pii: JFMPC-11-2277
pmc: PMC9480792
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
2277-2283Informations de copyright
Copyright: © 2022 Journal of Family Medicine and Primary Care.
Déclaration de conflit d'intérêts
There are no conflicts of interest.
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