How accurate are ChatGPT-4 responses in chronic urticaria? A critical analysis with information quality metrics.

ABSTRACT:

Background

The increasing use of artificial intelligence (AI) in healthcare, especially in delivering medical information, prompts concerns over the reliability and accuracy of AI-generated responses. This study evaluates the quality, reliability, and readability of ChatGPT-4 responses for chronic urticaria (CU) care, considering the potential implications of inaccurate medical information.

Objective

The goal of the study was to assess the quality, reliability, and readability of ChatGPT-4 responses to inquiries on CU management in accordance with international guidelines, utilizing validated metrics to evaluate the effectiveness of ChatGPT-4 as a resource for medical information acquisition.

Methods

Twenty-four questions were derived from the EAACI/GA²LEN/

SUBMITTER: Cherrez-Ojeda I 

PROVIDER: S-EPMC12206104 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature