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

Siobhán O'Connor, Amy Vercell, David Wong, Janelle Yorke, Fatmah Abdulsamad Fallatah, Louise Cave, Lu-Yen Anny Chen

Research output: Contribution to journalArticlepeer-review

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.

Methods
CINAHL, MEDLINE, PsycINFO, and PubMed were searched using key terms between January 2010 and December 2022. Titles, abstracts, and then full texts were screened against eligibility criteria, resulting in twenty studies being included. Critical appraisal was undertaken, and relevant data extracted and analysed. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed.

Results
Artificial intelligence was used in numerous areas including breast, colorectal, liver, and ovarian cancer care among others. Algorithms were trained and tested on primary and secondary datasets to build predictive models of health problems related to cancer. Studies reported this led to improvements in the accuracy of predicting health outcomes or identifying variables that improved outcome prediction. While nurses led most studies, few deployed an artificial intelligence based digital tool with cancer nurses in a real-world setting as studies largely focused on developing and validating predictive models.

Conclusion
Electronic cancer nursing datasets should be established to enable artificial intelligence techniques to be tested and if effective implemented in digital prediction and other AI-based tools. Cancer nurses need more education on machine learning and natural language processing, so they can lead and contribute to artificial intelligence developments in oncology.
Original languageEnglish
Article number102510
JournalEuropean Journal of Oncology Nursing
Volume68
Early online date12 Jan 2024
DOIs
Publication statusPublished - 14 Jan 2024

Fingerprint

Dive into the research topics of 'The application and use of artificial intelligence in cancer nursing: A systematic review'. Together they form a unique fingerprint.

Cite this