STORZ MEDICAL – Literature Databases
Literature Databases

Henderson S. et ., 2025: Validating ChatGPT-4-Generated Patient Information Leaflets for Common Endourological Procedures: A Survey of Urology Health Care Professionals.

Stuart Henderson, Thomas Reeves, Bhaskar Somani
J Endourol. 2025 Oct 24. doi: 10.1177/08927790251387371

Abstract

Introduction: Artificial intelligence (AI) is transforming health care, including patient communication. Large language models, like ChatGPT-4, also show great promise for enhancing patient communication and decision-making. This study evaluates ChatGPT-4's ability to produce readable, accurate, evidence-based patient information leaflets (PILs) for three common endourological procedures. Materials and Methods: ChatGPT-4 was given a short prompt to create PILs for extracorporeal shockwave lithotripsy, percutaneous nephrolithotomy, and ureteroscopic removal of stones. A 10-question survey was sent to urology teams in the United Kingdom to assess their accuracy, readability, and up-to-date content. Results: We received 105 responses (35 per procedure). The AI-generated PILs were rated highly across all domains, including: 85.71% found them evidence-based, 92.40% accurate, 99.05% clear and patient-friendly, and 96.19% would share them with patients despite knowing they were AI-generated. Conclusions: ChatGPT-4 shows promise as a low-input tool for creating high-quality patient materials. It could support broader health care use with tailored, accessible communication. However, ethical and long-term reliability concerns need further study before wider adoption.

Comment Peter Alken

no comment available

0
 

Comments

No comments made yet. Be the first to submit a comment
Saturday, 02 May 2026