Addressing Commonly Asked Questions in Urogynecology: Accuracy and Limitations of ChatGPT.

ABSTRACT:

Introduction and hypothesis

Existing literature suggests that large language models such as Chat Generative Pre-training Transformer (ChatGPT) might provide inaccurate and unreliable health care information. The literature regarding its performance in urogynecology is scarce. The aim of the present study is to assess ChatGPT's ability to accurately answer commonly asked urogynecology patient questions.

Methods

An expert panel of five board certified urogynecologists and two fellows developed ten commonly asked patient questions in a urogynecology office. Questions were phrased using diction and verbiage that a patient may use when asking a question over the internet. ChatGPT responses were evaluated using the Brief DISCERN (BD) tool, a validated scoring system for online hea

SUBMITTER: Vurture G 

PROVIDER: S-EPMC12681482 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature