A Review of The Performance of Artificial Intelligence In The Analysis of Chest CTs For The Diagnosis of COVID-19

  • Sirous Golchinheydari Core Trainee in H&FMH Unit, Charring Cross Hospital
DOI: https://doi.org/10.32553/jbpr.v11i6.823
Keywords: Antimicrobial resistance, Emergency department, Clinical pharmacists

Abstract

During the COVID-19 pandemic, chest CTs was used as an alternative for diagnosis of COVID-19. This resulted in the use of artificial intelligence as an independent assessor and in aiding the radiologist in the diagnosis of COVID-19. In this short review, we assessed the accuracy, sensitivity and specificity of AI software employed. The average accuracy, sensitivity and specificity were found to be 94.38%, 91.64% and 91.10% respectively. Despite the limitations of AI, it proved to be a valuable and reliable tool in diagnosis of COVID-19

Published
2022-12-30
How to Cite
Golchinheydari, S. (2022). A Review of The Performance of Artificial Intelligence In The Analysis of Chest CTs For The Diagnosis of COVID-19. Journal of Biomedical and Pharmaceutical Research, 11(6). https://doi.org/10.32553/jbpr.v11i6.823
Issue
Vol. 11 No. 6 (2022)
Section
Articles

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