Quality of patient information on interstitial cystitis from artificial intelligence chatbots
Artificial intelligence chatbots offer generally accurate and understandable information about interstitial cystitis but lack actionable guidance and generate content at reading levels above typical patient comprehension. Enhancing readability, actionability, and personalisation may increase their utility as adjunct tools for patient education in functional urology.
Authors
- Niranjan Jude Sathianathen (ORCID: https://orcid.org/0000-0002-3710-014X)
- Lydia Johns Putra (ORCID: https://orcid.org/0000-0002-6573-4692)
- Peter Stapleton (ORCID: https://orcid.org/0009-0005-8513-3711)
- Sandra Elmer (ORCID: https://orcid.org/0000-0002-7308-9451)
- Joe Ibrahim (ORCID: https://orcid.org/0000-0002-9240-4541)
- Jordan Santucci (ORCID: https://orcid.org/0000-0003-4283-7215)
Institutions
- The Royal Melbourne Hospital (AU)
- Lyell McEwin Hospital (AU)
- Cabrini Hospital (AU)
- Ballarat Health Services (AU)
- Austin Health (AU)
- Grampians Health
Publication Details
- Journal
- British Journal of Urology
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1111/bju.70035
- Citations
- 2
- Primary Topic
- Health Literacy and Information Accessibility
- Type
- article
- Field-Weighted Citation Impact
- 5.63