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

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisReviewForskningpeer review

  • Faiq Shaikh, Image Analysis Group
  • ,
  • Michael Brun Andersen
  • M. Rizwan Sohail, Mayo College of Medicine
  • ,
  • Francisca Mulero, Instituto de Salud Carlos III
  • ,
  • Omer Awan, University of Maryland, Baltimore
  • ,
  • Diana Dupont-Roettger, Image Analysis Group
  • ,
  • Olga Kubassova, Image Analysis Group
  • ,
  • Jamshid Dehmeshki, Image Analysis Group, Kingston University
  • ,
  • Sotirios Bisdas, University College London

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.

TidsskriftCurrent Problems in Diagnostic Radiology
Sider (fra-til)430-435
Antal sider6
StatusUdgivet - 1 maj 2021

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© 2020 Elsevier Inc.

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