TY - JOUR
T1 - Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19
AU - Shaikh, Faiq
AU - Andersen, Michael Brun
AU - Sohail, M. Rizwan
AU - Mulero, Francisca
AU - Awan, Omer
AU - Dupont-Roettger, Diana
AU - Kubassova, Olga
AU - Dehmeshki, Jamshid
AU - Bisdas, Sotirios
N1 - Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2021/5/1
Y1 - 2021/5/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85088099913&partnerID=8YFLogxK
U2 - 10.1067/j.cpradiol.2020.06.009
DO - 10.1067/j.cpradiol.2020.06.009
M3 - Review
C2 - 32703538
AN - SCOPUS:85088099913
SN - 0363-0188
VL - 50
SP - 430
EP - 435
JO - Current Problems in Diagnostic Radiology
JF - Current Problems in Diagnostic Radiology
IS - 3
ER -