Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study.

Journal: The Lancet. Digital health
Published Date: Dec 8, 2023

Abstract

BACKGROUND: Artificial intelligence (AI) systems for automated chest x-ray interpretation hold promise for standardising reporting and reducing delays in health systems with shortages of trained radiologists. Yet, there are few freely accessible AI systems trained on large datasets for practitioners to use with their own data with a view to accelerating clinical deployment of AI systems in radiology. We aimed to contribute an AI system for comprehensive chest x-ray abnormality detection.

Authors

  • Yashin Dicente Cid
  • Matthew Macpherson
    WMG, University of Warwick, Coventry, UK; Mathematics Institute, University of Warwick, Coventry, UK.
  • Louise Gervais-Andre
    School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Yuanyi Zhu
    WMG, University of Warwick, Coventry, UK; Mathematics Institute, University of Warwick, Coventry, UK.
  • Giuseppe Franco
    Mathematics Institute, University of Warwick, Coventry, UK.
  • Ruggiero Santeramo
    WMG, University of Warwick, Coventry, UK.
  • Chee Lim
    Department of Radiology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Ian Selby
    Department of Radiology, University of Cambridge, Cambridge, UK.
  • Keerthini Muthuswamy
    Department of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Ashik Amlani
    Department of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Heath Hopewell
    Department of Radiology, University Hospitals of Leicester NHS Trust, Leicester, UK.
  • Das Indrajeet
    Department of Radiology, University Hospitals of Leicester NHS Trust, Leicester, UK.
  • Maria Liakata
    Department of Computer Science, University of Warwick/Alan Turing Institute, UK. Electronic address: m.liakata@warwick.ac.uk.
  • Charles E Hutchinson
    Warwick Medical School, University of Warwick, Coventry, UK; Department of Radiology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Vicky Goh
    Department of Cancer Imaging, King's College London, London SE1 7EH, United Kingdom.
  • Giovanni Montana
    Department of Biomedical Engineering, King's College London, London SE1 7EH, United Kingdom.

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