Sonographer interaction with artificial intelligence: collaboration or conflict?

Journal: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Published Date:

Abstract

No abstract available for this article.

Authors

  • T G Day
    Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • J Matthew
    Department of Radiography, Division of Midwifery and Radiography, School of Health Sciences, City, University of London, Northampton Square, London, EC1V 0HB, UK; School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.
  • S Budd
    Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • J V Hajnal
    Centre for the Developing Brain, Division of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.
  • J M Simpson
    Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • R Razavi
    Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • B Kainz
    Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.