Readability and quality assessment of AI-powered chatbot responses to overactive bladder patient questions: a comparative study
AI chatbots show potential for patient education but produce content with readability levels too complex for general audiences. Significant quality variations exist between models. These findings emphasize the need for collaboration between healthcare professionals and AI developers to create more accessible, reliable health information systems.
Authors
- Tunahan Ateş (ORCID: https://orcid.org/0000-0001-9087-290X)
- Fesih Ok (ORCID: https://orcid.org/0000-0002-8785-9867)
- İbrahim Halil Şükür
- Nebil Akdoğan (ORCID: https://orcid.org/0000-0001-9756-8775)
- Mehmet Gürkan Arıkan (ORCID: https://orcid.org/0000-0002-9707-596X)
- Volkan İzol
- Mutlu Deger
- Ismail Onder Yilmaz
Institutions
- State Hospital (GB)
- Cukurova University (TR)
Publication Details
- Journal
- BMC Urology
- Published
- 2026-01-08
- DOI
- https://doi.org/10.1186/s12894-025-02033-w
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00