Current landscape of imaging and the potential role for artificial intelligence in the management of COVID-19

Shaikh, Faiq, Andersen, Michael Brun, Sohail, M. Rizwan, Mulero, Francisca, Awan, Omer, Dupont-Roettger, Diana, Kubassova, Olga, Dehmeshki, Jamshid and Bisdas, Sotirios (2021) Current landscape of imaging and the potential role for artificial intelligence in the management of COVID-19. Current Problems in Diagnostic Radiology, 50(3), pp. 430-435. ISSN (print) 0363-0188

Official URL: https://doi.org/10.1067/j.cpradiol.2020.06.009

Abstract

The clinical management of COVID-19 is challenging. Medical imaging plays a critical role in the early detection, clinical monitoring and outcomes assessment of this disease. Chest x-ray radiography and computed tomography) are the standard imaging modalities used for the structural assessment of the disease status, while functional imaging (namely, positron emission tomography) has had limited application. Artificial intelligence can enhance the predictive power and utilization of these imaging approaches and new approaches focusing on detection, stratification and prognostication are showing encouraging results. We review the current landscape of these imaging modalities and artificial intelligence approaches as applied in COVID-19 management.

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