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

Q: How does OCRA curate its research paper database?

OCRA indexes peer-reviewed papers from PubMed and CrossRef, enriched with MeSH terms, author profiles, and citation metrics. Papers are categorized by cancer type, research method, and clinical relevance.

Q: Can I search papers by MeSH term or author?

Yes. Use the search bar to filter papers by MeSH term, author name, journal, keyword, or cancer type. Each paper includes linked MeSH terms and author profiles for further exploration.

Q: How current is the paper database?

The database is updated regularly through automated ingestion from PubMed and CrossRef. Most papers appear within days of their PubMed indexing date.

Siobhan O'Connor

doi:10.1016/j.ejon.2024.102510

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

Siobhan O'Connor · 2024-01-14

28Citations

2Influential

Links

DOI PubMed

Journal

European Journal of Oncology Nursing

TL;DR

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.

AI-generated by Semantic Scholar

Institutions

Kings College London

Authors

Siobhan O'Connor