Artificial intelligence in clinical imaging: a health system approach.

Journal: Clinical radiology
Published Date: Sep 30, 2019

Abstract

The development and application of artificial intelligence (AI) to radiology requires an approach that encompasses a health system. The UK government and National Health Service (NHS) are creating an ecosystem to facilitate academic/industrial partnerships aimed at accelerating the creation of relevant and robust AI tools, which will improve the development and delivery of healthcare imaging. A series of recent initiatives are described, which will drive the development and adoption of AI in clinical imaging.

Authors

  • F J Gilbert
    EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging, University of Cambridge, Cambridge CB3 0WA, UK; Department of Radiology, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0QQ, UK. Electronic address: fjg28@cam.ac.uk.
  • S W Smye
    NIHR Clinical Research Network, School of Population Sciences and Health Services Research, Faculty of Life Sciences & Medicine, Kings College London, 6th Floor, Addison House, Guy's Campus, London SE1 1UL, UK.
  • C-B Schönlieb
    Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WA, UK.

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