Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice.

Journal: The Journal of pathology
Published Date: Jul 18, 2019

Abstract

The use of artificial intelligence will transform clinical practice over the next decade and the early impact of this will likely be the integration of image analysis and machine learning into routine histopathology. In the UK and around the world, a digital revolution is transforming the reporting practice of diagnostic histopathology and this has sparked a proliferation of image analysis software tools. While this is an exciting development that could discover novel predictive clinical information and potentially address international pathology workforce shortages, there is a clear need for a robust and evidence-based framework in which to develop these new tools in a collaborative manner that meets regulatory approval. With these issues in mind, the NCRI Cellular Molecular Pathology (CM-Path) initiative and the British In Vitro Diagnostics Association (BIVDA) have set out a roadmap to help academia, industry, and clinicians develop new software tools to the point of approved clinical use. © 2019 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Authors

  • Richard Colling
    Department of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Helen Pitman
    National Cancer Research Institute, London, UK.
  • Karin Oien
    Institute of Cancer Sciences, University of Glasgow, Glasgow, UK.
  • Nasir Rajpoot
    Department of Computer Science, University of Warwick, Coventry, UK.
  • Philip Macklin
    Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • David Snead
    Department of Pathology, University Hospitals Coventry and Warwickshire, Coventry, UK.
  • Tony Sackville
    British In Vitro Diagnostics Association, London, UK.
  • Clare Verrill
    Department of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK; Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK. Electronic address: Clare.Verrill@ouh.nhs.uk.

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