Challenging the status quo: Why artificial intelligence models must go beyond accuracy in cervical cancer diagnosis

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.

doi:10.1016/j.bspc.2025.107620

Challenging the status quo: Why artificial intelligence models must go beyond accuracy in cervical cancer diagnosis

Yousry AbdulAzeem & Mostafa A. Elhosseini et al. · 2025

Links

DOI

Journal

Unknown Journal

Authors

Yousry AbdulAzeem, Hossam Magdy Balaha, Hanaa ZainEldin, Waleed AbdelKarim Abuain, Mahmoud Badawy, Mostafa A. Elhosseini