AI-Based Quantitative CT Analysis of Temporal Changes According to Disease Severity in COVID-19 Pneumonia.

Journal: Journal of computer assisted tomography
PMID: 34581706

Abstract

OBJECTIVE: To quantitatively evaluate computed tomography (CT) parameters of coronavirus disease 2019 (COVID-19) pneumonia an artificial intelligence (AI)-based software in different clinical severity groups during the disease course.

Authors

  • Selin Ardali Duzgun
    From the Department of Radiology.
  • Gamze Durhan
    From the Department of Radiology.
  • Figen Basaran Demirkazik
    From the Department of Radiology.
  • Ilim Irmak
    From the Department of Radiology.
  • Jale Karakaya
    From the Department of Radiology.
  • Erhan Akpinar
    From the Department of Radiology.
  • Meltem Gulsun Akpinar
    From the Department of Radiology.
  • Ahmet Cagkan Inkaya
    Department of Infectious Diseases and Clinical Microbiology.
  • Serpil Ocal
    Department of Internal Medicine, Hacettepe University School of Medicine, Ankara, Turkey.
  • Arzu Topeli
    Department of Internal Medicine, Hacettepe University School of Medicine, Ankara, Turkey.
  • Orhan Macit Ariyurek
    From the Department of Radiology.

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