Submitted: 13 Sep 2020
Accepted: 09 Nov 2020
ePublished: 30 Dec 2020
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Avicenna J Med Biochem. 2020;8(2): 120-127.
doi: 10.34172/ajmb.2020.17
  Abstract View: 382
  PDF Download: 171

Review Article

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

Mohammad Hosein Sadeghi 1 ORCID logo, Hamid Omidi 1 ORCID logo, Sedigheh Sina 1,2* ORCID logo

1 Department of Nuclear Engineering, School of Mechanical Engineering, Shiraz University, Shiraz, Iran.
2 Radiation Research Center, School of Mechanical Engineering, Shiraz University, Iran.
*Corresponding author: Sedigheh Sina, Department of Nuclear Engineering, School of Mechanical Engineering, Shiraz, Iran. Tel: +989172228349, Fax: +987116473474, Email: samirasina@shirazu. ac.ir


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.

Keywords: COVID-19, Artificial intelligence, Chest X-ray images,
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