Assessing large language model responses to pediatric depression FAQs: a cross-sectional study on readability, accuracy, and sentiment (opens in new tab)

BackgroundPediatric depression shows age-specific symptoms that hinder recognition and delay care, while parents and adolescents increasingly turn to online sources, including large language models, for mental health information and guidance. The quality of such information depends on readability, factual accuracy, completeness, and emotional tone. This study compared responses from 3 contemporary large language models (LLMs) to frequently asked questions about pediatric depression to assess ...