ChatGPT-generated surgical decision aids for pelvic floor disorders had high patient understandability, but about 30% of topics fell short on accuracy and overall readability was high
In this cross-sectional study, six urogynecologists developed six questions comparing two treatment options for common urogynecological conditions and entered them into ChatGPT to create decision aid tools; patients and physicians then rated understandability with a Patient Education Materials Assessment Tool, physicians rated reliability with a modified DISCERN instrument and accuracy on a 5-point Likert scale, and readability was assessed with the Flesch-Kincaid Reading Ease score, showing high patient and physician understandability for all tools, fair reliability with an average mDISCERN score of 26, accuracy below 4 (unfavorable) on 2 of the tools, and a high reading level required overall.