Clinical Integration of Artificial Intelligence for Breast Imaging.

Journal: Radiologic clinics of North America
Published Date:

Abstract

This article describes an approach to planning and implementing artificial intelligence products in a breast screening service. It highlights the importance of an in-depth understanding of the end-to-end workflow and effective project planning by a multidisciplinary team. It discusses the need for monitoring to ensure that performance is stable and meets expectations, as well as focusing on the potential for inadvertantly generating inequality. New cross-discipline roles and expertise will be needed to enhance service delivery.

Authors

  • Louise S Wilkinson
    Oxford Breast Imaging Centre, Churchill Hospital, Old Road, Headington, Oxford OX3 7LE, UK. Electronic address: louise.wilkinson11@outlook.com.
  • J Kevin Dunbar
    Regional Head of Screening Quality Assurance Service (SQAS) - South, NHS England, England, UK.
  • Gerald Lip
    Aberdeen Royal Infirmary, NHS Grampian, Aberdeen, UK.