The application and use of artificial intelligence in cancer nursing: A systematic review.

Journal: European journal of oncology nursing : the official journal of European Oncology Nursing Society
Published Date:

Abstract

PURPOSE: Artificial Intelligence is being applied in oncology to improve patient and service outcomes. Yet, there is a limited understanding of how these advanced computational techniques are employed in cancer nursing to inform clinical practice. This review aimed to identify and synthesise evidence on artificial intelligence in cancer nursing.

Authors

  • Siobhan O'Connor
    National University of Ireland Galway, Ireland.
  • Amy Vercell
    Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, United Kingdom; The Christie NHS Foundation Trust, Wilmslow Rd, Manchester, M20 4BX, United Kingdom. Electronic address: a.vercell@nhs.net.
  • David Wong
    Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
  • Janelle Yorke
    Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, United Kingdom; The Christie NHS Foundation Trust, Wilmslow Rd, Manchester, M20 4BX, United Kingdom. Electronic address: Janelle.Yorke@nhs.net.
  • Fatmah Abdulsamad Fallatah
    Department of Nursing Affairs, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia. Electronic address: ffatmah@kfshrc.edu.sa.
  • Louise Cave
    NHS Transformation Directorate, NHS England, England, United Kingdom. Electronic address: louise.cave4@nhs.net.
  • Lu-Yen Anny Chen
    Institute of Clinical Nursing, College of Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan. Electronic address: annychen@nycu.edu.tw.