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Updated: Sep 16, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
Published on: July 22, 2025
Artificial intelligence performance in pediatric asthma
Ece Şenbaykal Yiğit1, İlke Taşkırdı1,2, İdil Akay Hacı1
1Department of Pediatrics, Division of Pediatric Allergy and Immunology, Izmir City Hospital, Izmir, Turkey.
Artificial intelligence (AI) tools like ChatGPT-4o offer reliable and high-quality information for pediatric asthma. However, the complex language used may present readability challenges for parents seeking asthma guidance.
Area of Science:
- Pediatric Pulmonology
- Artificial Intelligence in Healthcare
- Medical Information Accessibility
Background:
- Childhood asthma is a prevalent chronic respiratory condition with significant symptom burden.
- Artificial intelligence (AI) applications, including ChatGPT, are increasingly integrated into various sectors, including healthcare information dissemination.
- Evaluating the utility of AI-generated content for specific medical conditions is crucial for its effective application.
Purpose of the Study:
- To assess the reliability and quality of ChatGPT-4o's responses to pediatric asthma queries.
- To evaluate the readability of AI-generated information concerning childhood asthma.
- To determine the suitability of ChatGPT-4o as a resource for parents and caregivers of children with asthma.
Main Methods:
- ChatGPT-4o was queried with 25 common questions about pediatric asthma.
- Answer reliability and quality were evaluated using the Global Quality Scale and modified DISCERN tool.
- Readability was assessed using seven established indices, including the Flesch-Kincaid Grade Level (FKGL).
Main Results:
- ChatGPT-4o demonstrated high reliability (84-88%) and quality (88%) in its responses.
- The application's answers required a high level of reading proficiency, indicated by an FKGL score of 10.77 ± 1.58.
- Multiple readability indices confirmed the complex nature of the generated text.
Conclusions:
- AI tools like ChatGPT-4o can serve as dependable sources for pediatric asthma information.
- Readability challenges in AI-generated content may impede its practical use in clinical settings for asthma management.
- Further research is needed to optimize AI-generated medical content for better patient understanding.
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