Assessing ChatGPT vs. evidence-based online responses for polycystic ovary syndrome self-management and education: an international cross-sectional blinded survey of healthcare professionals
< 0.05). Readability analyses found no statistically significant differences between ChatGPT and evidence-based responses. However, using ChatGPT for simplifying the responses resulted in significant improvement. ChatGPT holds potential as a complementary patient self-education tool in PCOS, capable of interactive engagement and simplifying medical language. Further research is needed to identity optimal integration of AI tools and validate their clinical applicability for PCOS self-education/management.
Authors
- I. Kyrou
- Sandro Graca (ORCID: https://orcid.org/0000-0002-3538-4038)
- Harpal Randeva (ORCID: https://orcid.org/0000-0001-9438-7506)
- Folashade Alloh (ORCID: https://orcid.org/0000-0003-2216-739X)
- Alexander Dallaway (ORCID: https://orcid.org/0000-0002-2116-6654)
- Chris Kite (ORCID: https://orcid.org/0000-0003-1342-274X)
Institutions
- University of Wolverhampton (GB)
- University of Chester (GB)
- Aston University (GB)
- University of Derby (GB)
- University Hospitals Coventry and Warwickshire NHS Trust (GB)
- University of Warwick (GB)
- Aston Medical (France) (FR)
- Coventry University (GB)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2026-03-31
- DOI
- https://doi.org/10.3389/fdgth.2025.1700018
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Wolverhampton