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Published on in Vol 10 (2026)

This is a member publication of King's College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/90139, first published .
Retrieval-Augmented Generation Versus GPT-4o for Patient-Facing Gynecological Cancer Information: Quality Evaluation

Retrieval-Augmented Generation Versus GPT-4o for Patient-Facing Gynecological Cancer Information: Quality Evaluation

Retrieval-Augmented Generation Versus GPT-4o for Patient-Facing Gynecological Cancer Information: Quality Evaluation

Stephen Pearson   1 * , MRES ;   Mimi Reyburn   2 * , MEng ;   Conor Foley   3 * , MBChB ;   Alison Finch   2 * , PhD ;   Suzanne Bench   4 * , PhD ;   Timothy Bonnici   1 * , PhD ;   Louise Rose   5 * , PhD

1 Critical Care, University College London Hospitals NHS Foundation Trust, London, England, United Kingdom

2 University College London Hospitals NHS Foundation Trust, London, United Kingdom

3 Anaesthetic Department, Whittington Health NHS Trust, London, England, United Kingdom

4 School of Nursing and Midwifery, London South Bank University, London, England, United Kingdom

5 Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, England, United Kingdom

*all authors contributed equally

Corresponding Author:

  • Louise Rose, PhD
  • Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London
  • King's College London, Strand
  • London, England WC2R2LS
  • United Kingdom
  • Phone: 44 02078365454
  • Email: louise.rose@kcl.ac.uk