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Currently submitted to: JMIR Formative Research

Date Submitted: Dec 22, 2025
Open Peer Review Period: Jan 12, 2026 - Mar 9, 2026
(currently open for review)
Peer Review Me

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

AI Generated Patient-Facing Gynaecological Cancer Information comparing base GPT-4o to Retrieval-Augmented Generation (RAG): A Quality Evaluation

  • Stephen Pearson; 
  • Mimi Reyburn; 
  • Conor Foley; 
  • Alison Finch; 
  • Suzanne Bench; 
  • Timothy Bonnici; 
  • Louise Rose

ABSTRACT

Research Letter: No abstract required


 Citation

Please cite as:

Pearson S, Reyburn M, Foley C, Finch A, Bench S, Bonnici T, Rose L

AI Generated Patient-Facing Gynaecological Cancer Information comparing base GPT-4o to Retrieval-Augmented Generation (RAG): A Quality Evaluation

JMIR Preprints. 22/12/2025:90139

DOI: 10.2196/preprints.90139

URL: https://preprints.jmir.org/preprint/90139

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