Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review.

Journal: Clinical imaging
PMID:

Abstract

PURPOSE: There are many radiological datasets for breast cancer, some which have supported the development of AI medical devices for breast cancer screening and image classification. This review aims to identify mammography datasets (including digitised screen film mammography, 2D digital mammography and digital breast tomosynthesis) used in the development of AI technologies and present their characteristics, including their transparency of documentation, content, populations included and accessibility.

Authors

  • Elinor Laws
    Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
  • Joanne Palmer
    University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Joseph Alderman
    University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK; National Institute for Health and Care Research Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK.
  • Ojasvi Sharma
    University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
  • Victoria Ngai
    University College London Medical School, London, UK.
  • Thomas Salisbury
    South Tyneside and Sunderland NHS Foundation Trust, Sunderland, UK.
  • Gulmeena Hussain
    University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Sumiya Ahmed
    University of Leicester Medical School, Leicester, UK.
  • Gagandeep Sachdeva
    The Royal Wolverhampton NHS Trust, UK.
  • Sonam Vadera
    University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; University Hospitals of Leicester NHS Trust, Leicester, UK.
  • Bilal Mateen
    Wellcome Trust, London, UK.
  • Rubeta Matin
    Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Stephanie Kuku
    Institute of Women's Health, University College London, London, UK.
  • Melanie Calvert
    Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK.
  • Jacqui Gath
    Patient Partner, Birmingham, UK.
  • Darren Treanor
    Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Melissa McCradden
    Department of Bioethics, The Hospital for Sick Kids, Toronto, Ontario, Canada.
  • Maxine Mackintosh
    Genomics England, London, UK.
  • Judy Gichoya
    Department of Radiology, Medical College of Georgia at Augusta University, 1120 15th St, Augusta, GA 30912 (Y.T.); and Department of Radiology, Emory University, Atlanta, Ga (B.V., E.K., A.P., J.G., N.S., H.T.).
  • Hari Trivedi
    Department of Radiology, Medical College of Georgia at Augusta University, 1120 15th St, Augusta, GA 30912 (Y.T.); and Department of Radiology, Emory University, Atlanta, Ga (B.V., E.K., A.P., J.G., N.S., H.T.).
  • Alastair K Denniston
    Centre for Patient Reported Outcomes Research Institute of Applied Health Research University of Birmingham Birmingham Reino Unido Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, Reino Unido.
  • Xiaoxuan Liu
    Birmingham Health Partners Centre for Regulatory Science and Innovation University of Birmingham Birmingham Reino Unido Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, Reino Unido.