A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative.

Journal: PloS one
PMID: 37130128

Abstract

BACKGROUND: Recently, artificial intelligence (AI)-based applications for chest imaging have emerged as potential tools to assist clinicians in the diagnosis and management of patients with coronavirus disease 2019 (COVID-19).

Authors

  • Laurens Topff
    Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
  • José Sánchez-García
    Área de I+D, QUIBIM, Valencia, España.
  • Rafael López-González
    Área de I+D, QUIBIM, Valencia, España. Electronic address: rafaellopez@quibim.com.
  • Ana Jiménez Pastor
    Quantitative Imaging Biomarkers in Medicine (Quibim), Valencia, Spain.
  • Jacob J Visser
    Department of Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Merel Huisman
    Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands. merel.huisman1@gmail.com.
  • Julien Guiot
    Dept of Respiratory Medicine, CHU of Liège, Liège, Belgium.
  • Regina G H Beets-Tan
    Department of Radiology, the Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Angel Alberich-Bayarri
    QUIBIM SL, Valencia, Spain.
  • Almudena Fuster-Matanzo
    Quantitative Imaging Biomarkers in Medicine (Quibim), Valencia, Spain.
  • Erik R Ranschaert
    Department of Radiology, Elisabeth-TweeSteden Ziekenhuis, Tilburg, The Netherlands.

Keywords

External Resources

Popular Topics
Recent Journals