Assessing the performance of large language models (GPT-3.5 and GPT-4) and accurate clinical information for pediatric nephrology

While GPT-3.5 and GPT-4 provided a foundational level of clinical information support, neither model exhibited superior performance in addressing the unique challenges of pediatric nephrology. The findings highlight the need for domain-specific training and integration of updated clinical guidelines to enhance the applicability and reliability of AI models in specialized fields. This study underscores the potential of AI in pediatric nephrology while emphasizing the importance of human oversight and the need for further refinements in AI applications.