Artificial Intelligence for Radiotherapy Auto-Contouring: Current Use, Perceptions of and Barriers to Implementation.

Journal: Clinical oncology (Royal College of Radiologists (Great Britain))
Published Date: Jan 23, 2023

Abstract

AIMS: Artificial intelligence has the potential to transform the radiotherapy workflow, resulting in improved quality, safety, accuracy and timeliness of radiotherapy delivery. Several commercially available artificial intelligence-based auto-contouring tools have emerged in recent years. Their clinical deployment raises important considerations for clinical oncologists, including quality assurance and validation, education, training and job planning. Despite this, there is little in the literature capturing the views of clinical oncologists with respect to these factors.

Authors

  • S Hindocha
    UKRI Centre for Doctoral Training in Artificial Intelligence in Healthcare, Imperial College London, London, UK. Electronic address: s.hindocha@nhs.net.
  • K Zucker
    School of Medicine, Worsley Building, University of Leeds, Leeds, UK.
  • R Jena
    Department of Oncology, University of Cambridge, Cambridge, UK. Electronic address: rjena@nhs.net.
  • K Banfill
    Department of Radiotherapy, The Christie NHS Foundation Trust, Manchester, UK.
  • K Mackay
    Department of Clinical Oncology, Royal Marsden Hospital, London, UK.
  • G Price
    Division of Cancer Sciences, Faculty of Biology, Medicine and Heath, University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: Gareth.price@manchester.ac.uk.
  • D Pudney
    Department of Oncology, Southwest Wales Cancer Centre, Swansea Bay University Health Board, Neath Port Talbot Hospital, Port Talbot, UK.
  • J Wang
    Joint Laboratory of Modern Agricultural Technology International Cooperation; Key Laboratory of Animal Production, Product Quality, and Security; College of Animal Science and Technology, Jilin Agricultural University, Changchun, China. moa4short@outlook.com.
  • A Taylor
    Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.

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