A Systematic Review on the Use of Artificial Intelligence Techniques in the Diagnosis of COVID-19 from Chest X-Ray Images

Background: In this study, the artificial intelligence (AI) techniques used for the detection of coronavirus disease 2019 (COVID-19) from the chest x-ray were reviewed. Methods: PubMed, arXiv, and Google Scholar were used to search for AI studies. Results: A total of 20 papers were extracted f...

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Autores principales:	Mohammad Hosein Sadeghi, Hamid Omidi, Sedigheh Sina
Formato:	article
Lenguaje:	EN
Publicado:	Hamadan University of Medical Sciences 2020
Materias:	covid-19 artificial intelligence chest x-ray images Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/229c71b789d14a53bcd34986c0ae4b27
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spelling	oai:doaj.org-article:229c71b789d14a53bcd34986c0ae4b272021-11-23T09:06:24ZA Systematic Review on the Use of Artificial Intelligence Techniques in the Diagnosis of COVID-19 from Chest X-Ray Images10.34172/ajmb.2020.172345-4113https://doaj.org/article/229c71b789d14a53bcd34986c0ae4b272020-12-01T00:00:00Zhttp://ajmb.umsha.ac.ir/PDF/ajmb-8-120.pdfhttps://doaj.org/toc/2345-4113Background: In this study, the artificial intelligence (AI) techniques used for the detection of coronavirus disease 2019 (COVID-19) from the chest x-ray were reviewed. Methods: PubMed, arXiv, and Google Scholar were used to search for AI studies. Results: A total of 20 papers were extracted from Google Scholar, 14 from arXiv, and 5 from PubMed. In 17 papers, publicly available datasets and in 3 papers, independent datasets were used. 10 papers disclosed source codes. Nine papers were about creating a novel AI software, 8 papers reported the modification of the existing AI models, and 3 compared the performance of the existing AI software programs. All papers have used deep learning as AI technique. Most papers reported accuracy, specificity, and sensitivity of the models, and also the area under the curve (AUC) for investigation of the model performance for the prediction of COVID-19. Nine papers reported accuracy, sensitivity, and specificity. The number of datasets used in the studies ranged from 50 to 94323. The accuracy, sensitivity, and specificity of the models ranged from 0.88 to 0.98, 0.80 to 1.00, and 0.70 to 1.00, respectively. Conclusion: The studies revealed that AI can help human in fighting the new Coronavirus. Mohammad Hosein SadeghiHamid OmidiSedigheh SinaHamadan University of Medical Sciencesarticlecovid-19artificial intelligencechest x-ray imagesMedical technologyR855-855.5ENAvicenna Journal of Medical Biochemistry, Vol 8, Iss 2, Pp 120-127 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	covid-19 artificial intelligence chest x-ray images Medical technology R855-855.5
spellingShingle	covid-19 artificial intelligence chest x-ray images Medical technology R855-855.5 Mohammad Hosein Sadeghi Hamid Omidi Sedigheh Sina A Systematic Review on the Use of Artificial Intelligence Techniques in the Diagnosis of COVID-19 from Chest X-Ray Images
description	Background: In this study, the artificial intelligence (AI) techniques used for the detection of coronavirus disease 2019 (COVID-19) from the chest x-ray were reviewed. Methods: PubMed, arXiv, and Google Scholar were used to search for AI studies. Results: A total of 20 papers were extracted from Google Scholar, 14 from arXiv, and 5 from PubMed. In 17 papers, publicly available datasets and in 3 papers, independent datasets were used. 10 papers disclosed source codes. Nine papers were about creating a novel AI software, 8 papers reported the modification of the existing AI models, and 3 compared the performance of the existing AI software programs. All papers have used deep learning as AI technique. Most papers reported accuracy, specificity, and sensitivity of the models, and also the area under the curve (AUC) for investigation of the model performance for the prediction of COVID-19. Nine papers reported accuracy, sensitivity, and specificity. The number of datasets used in the studies ranged from 50 to 94323. The accuracy, sensitivity, and specificity of the models ranged from 0.88 to 0.98, 0.80 to 1.00, and 0.70 to 1.00, respectively. Conclusion: The studies revealed that AI can help human in fighting the new Coronavirus.
format	article
author	Mohammad Hosein Sadeghi Hamid Omidi Sedigheh Sina
author_facet	Mohammad Hosein Sadeghi Hamid Omidi Sedigheh Sina
author_sort	Mohammad Hosein Sadeghi
title	A Systematic Review on the Use of Artificial Intelligence Techniques in the Diagnosis of COVID-19 from Chest X-Ray Images
title_short	A Systematic Review on the Use of Artificial Intelligence Techniques in the Diagnosis of COVID-19 from Chest X-Ray Images
title_full	A Systematic Review on the Use of Artificial Intelligence Techniques in the Diagnosis of COVID-19 from Chest X-Ray Images
title_fullStr	A Systematic Review on the Use of Artificial Intelligence Techniques in the Diagnosis of COVID-19 from Chest X-Ray Images
title_full_unstemmed	A Systematic Review on the Use of Artificial Intelligence Techniques in the Diagnosis of COVID-19 from Chest X-Ray Images
title_sort	systematic review on the use of artificial intelligence techniques in the diagnosis of covid-19 from chest x-ray images
publisher	Hamadan University of Medical Sciences
publishDate	2020
url	https://doaj.org/article/229c71b789d14a53bcd34986c0ae4b27
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A Systematic Review on the Use of Artificial Intelligence Techniques in the Diagnosis of COVID-19 from Chest X-Ray Images

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