<p>Dataset.</p>

Introduction Artificial intelligence tools such as ChatGPT are increasingly used by patients and healthcare professionals, yet their reliability in pediatric respiratory conditions remains unclear. This study aims to assess the trustworthiness, comprehensiveness, value, and potential dangers of ChatGPT-4o-generated responses to frequently asked questions about the management and care of cough in children. Materials and methods A total of 10 cough-related questions were selected for ChatGPT-4o. The questions and responses generated by ChatGPT-4o are presented to 32 pediatric pulmonologists and 32 pediatricians. An online questionnaire was developed for this study. Participants rated the answers generated by ChatGPT-4o on a scale of 1–10 in terms of trustworthiness, comprehensiveness, value, and danger. Higher scores indicate higher levels of trustworthiness, comprehensiveness, value and danger. In addition, a yes/no question asked participants if there was anything wrong with the answer generated by ChatGPT-4o. Results The ChatGPT-4o-generated answers were generally rated by participants as trustworthy (median:6.45, IQR:1.97), valuable (median:6.15, IQR:2.30), comprehensive (median:6.15, IQR:1.83), and not dangerous (median:4.35, IQR:2.65). There was a statistically significant difference in all overall ratings between pulmonologists and pediatricians. Pediatricians rated ChatGPT-4o-generated answers as more trustworthy, valuable, comprehensive, and less dangerous compared to pediatric pulmonologists. For each of the ten questions, at least one participant indicated that there was something wrong with the ChatGPT-4o-generated response. However, for no question did the proportion of “yes” responses exceed 50%, indicating that concerns were not universally shared among participants. Conclusion Our study highlights both the potential benefits and limitations of ChatGPT-4o in providing medical information about pediatric cough. While AI-generated responses were generally rated as trustworthy and valuable, differences in assessment between pediatricians and pediatric pulmonologists emphasize the need for careful interpretation of AI-derived medical content.