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Assessing the accuracy of ChatGPT's responses to common allergy myths

Autor/es Anáhuac
Cojuc-Konigsberg Gabriel
Año de publicación
2025
Journal o Editorial
Journal of Allergy and Clinical Immunology: In Practice

Abstract

Large language models (LLMs) such as chat-generative pre-trained transformers (ChatGPT) have shown promise in diverse medical domains but have also raised concerns regarding the potential for misinformation spread. 1,2,3 We aimed to assess ChatGPT's accuracy in responding to myths and misconceptions commonly encountered during allergy clinical practice.