Objective:

To investigate how ChatGPT-4o counsels and guides women regarding urinary incontinence (UI), focusing on understandability, actionability, reliability, and readability of the information provided for the general Turkish public, evaluated by a panel of health experts including urologists and gynecologists.

Key Findings:

• Only approximately one-quarter of women with UI seek medical advice, highlighting a significant gap in care.
• Existing online resources for UI often lack clarity and actionable guidance, which may hinder patient understanding.
• High-quality information on UI is scarce, potentially deterring women from seeking necessary care.

Interpretation:

The study highlights the necessity of evaluating AI-generated content for its effectiveness in patient education, particularly in the context of urinary incontinence, and suggests frameworks for such evaluations.

Limitations:

• The study focused solely on Turkish language prompts, limiting generalizability to non-Turkish speaking populations.
• Evaluation was conducted by a small number of clinical experts, which may introduce bias in the assessment.

Conclusion:

The findings indicate a need for improved clarity and actionability in AI-generated health information to better support patient education on urinary incontinence, suggesting that future AI tools should be rigorously evaluated for their educational effectiveness.