Deep Learning for Pneumothorax Detection on Chest Radiograph: A Diagnostic Test Accuracy Systematic Review and Meta Analysis.

Journal: Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Published Date: Jan 8, 2024

Abstract

BACKGROUND: Pneumothorax is a common acute presentation in healthcare settings. A chest radiograph (CXR) is often necessary to make the diagnosis, and minimizing the time between presentation and diagnosis is critical to deliver optimal treatment. Deep learning (DL) algorithms have been developed to rapidly identify pathologic findings on various imaging modalities.

Authors

  • Benjamin D Katzman
    Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, L8S 3L8, Canada.
  • Mostafa Alabousi
    Department of Medical Imaging, McMaster University, Hamilton, ON, Canada.
  • Nabil Islam
    Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Nanxi Zha
    Department of Medical Imaging, McMaster University, Hamilton, ON, Canada.
  • Michael N Patlas
    Department of Radiology, McMaster University, Hamilton, Ontario, Canada.

Keywords

External Resources

Popular Topics
Recent Journals