Facilitating the use of routine data to evaluate artificial intelligence solutions: lessons from the NIHR/RCR data curation workshop.

Journal: Clinical radiology
PMID: 39366889

Abstract

Radiology currently stands at the forefront of artificial intelligence (AI) development and deployment over many other medical subspecialities within the scope of both research and clinical practice. Given this current leadership position, it is imperative that we foster collaboration and knowledge sharing to ensure the ethical, responsible and effective continued progress of AI technologies in our field, ultimately leading to enhanced patient care. To achieve this objective, three workshops have been planned through a coordinated effort by the NIHR/RCR committee. These workshops aim to convene key stakeholders including eminent academics, departmental leaders and industry partners to provide insights from their own experiences and strategies to overcome common challenges faced. In this article, we describe the outcomes from the first workshop, which addresses the topic of "facilitating the use of routine data to evaluate AI solutions". The main key insights uncovered include the need for ethical considerations, detailing of methods for data curation and storage depending on the need and requirements for de-identification. We provide resources for how to de-identify data and also a list of concerns to think about before curating your data. Finally, we address secure data-sharing methods and explore the need for quality assurances, the role of the data access committee and the patient perspectives in this task.

Authors

  • S C Shelmerdine
    Department of Clinical Radiology, Great Ormond Street Hospital for Children, London, WC1H 3JH, UK; University College London, Gower Street, London, WC1E 6BT, UK; UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, London, WC1N 1EH, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, Bloomsbury, London, WC1N 1EH, UK. Electronic address: susan.shelmerdine@gosh.nhs.uk.
  • S E Hickman
    Barts Health NHS Trust, The Royal London Hospital, 80 Newark Street, London, UK.
  • N Jackson
    NIHR RDNCC (Research Delivery Network Coordinating Centre), UK.
  • D Cronheim
    NIHR Patient Public Involvement and Engagement, UK.
  • J Taylor
    Centre for Healthy Futures, Health Faculty, Torrens University Australia, Sydney, Australia.
  • A J Swift
    Department of Clinical Medicine, University of Sheffield, Sheffield, UK.
  • M Thurston
    The Department of Clinical Imaging, The Royal Cornwall Hospitals NHS Trust, Truro, UK.
  • A Davies
    The Association of British HealthTech Industries (ABHI), Suite 2, 4(th) Floor, 1 Duchess Street, London, W1W 6AN, UK.
  • S Ather
    Department of Radiology, Churchill Hospital, Oxford, UK.
  • S Doran
    National Cancer Imaging Translational Accelerator, London, UK; Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
  • J Nash
    Kheiron Medical Technologies, 112-116 Old St., London EC1V 9BG, UK.
  • A G Rockall
    Imperial College Comprehensive Cancer Imaging Centre (C.C.I.C.), Hammersmith Campus, Commonwealth Building Main Office, Ground Floor, Du Cane Road, London W12 0NN, UK; Department of Radiology Hammersmith Hospital, Imperial College Healthcare NHS Trust, Du Cane Road, London W12 0NN, UK.

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