OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 16.03.2026, 12:24

Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.

ChatGPT and other large language models for parents’ questions about childhood asthma: a comparative study

2025·1 Zitationen·European Respiratory Journal
Volltext beim Verlag öffnen

1

Zitationen

7

Autoren

2025

Jahr

Abstract

<title>Extract</title> Parents of children with asthma frequently turn to the internet for health information about their child's condition [1–3]. While traditional online searches through platforms like Google have been the primary method of accessing such information, the emergence of Large Language Models (LLMs) like ChatGPT represents a paradigm shift in how health information can be accessed [4]. These AI models, which now count tens of millions of users, can generate direct responses to specific questions. However, the quality of information they provide to parents of children with asthma remains unknown. Here, we evaluated the medical accuracy, appropriateness, comprehensibility, and reproducibility of responses provided by ten different LLMs to the most common questions asked by parents of children with asthma.

Ähnliche Arbeiten

Autoren

Institutionen

Themen

Inhalation and Respiratory Drug DeliveryArtificial Intelligence in Healthcare and EducationAdolescent and Pediatric Healthcare
Volltext beim Verlag öffnen