Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19

Faiq Shaikh*, Michael Brun Andersen, M. Rizwan Sohail, Francisca Mulero, Omer Awan, Diana Dupont-Roettger, Olga Kubassova, Jamshid Dehmeshki, Sotirios Bisdas

*Corresponding author af dette arbejde
24 Citationer (Scopus)

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.

OriginalsprogEngelsk
TidsskriftCurrent Problems in Diagnostic Radiology
Vol/bind50
Udgave nummer3
Sider (fra-til)430-435
Antal sider6
ISSN0363-0188
DOI
StatusUdgivet - 1 maj 2021

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