Artificial intelligence in respiratory pandemics-ready for disease X? A scoping review.

Journal: European radiology
PMID: 39570367

Abstract

OBJECTIVES: This study aims to identify repeated previous shortcomings in medical imaging data collection, curation, and AI-based analysis during the early phase of respiratory pandemics. Based on the results, it seeks to highlight essential steps for improving future pandemic preparedness.

Authors

  • Jennifer Straub
    Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, 1090, Vienna, Austria.
  • Enrique Estrada Lobato
    Nuclear Medicine and Diagnostic Imaging Section, Division of Human Health, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria.
  • Diana Paez
    Nuclear Medicine and Diagnostic Imaging Section, Division of Human Health, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria.
  • Georg Langs
    Department of Biomedical Imaging and Image-guided Therapy Computational Imaging Research Lab, Medical University of Vienna Vienna Austria.
  • Helmut Prosch
    Universitätsklinik für Radiologie und Nuklearmedizin, Computational Imaging Research Lab, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich.

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