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

    Research output: Contribution to journalArticlepeer-review

    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.
    Original languageEnglish
    Pages (from-to)430-435
    JournalCurrent Problems in Diagnostic Radiology
    Volume50
    Issue number3
    Early online date27 Jun 2020
    DOIs
    Publication statusPublished - 30 Jun 2021

    Keywords

    • Computer science and informatics

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