Performance of large language models and pediatricians in complex pediatric scenarios: a prospective, randomized comparative study of clinical task accuracy and decision support
To compare response accuracy between contemporary large language models (LLMs) and pediatricians across difficulty-stratified pediatric clinical vignettes, characterize LLM response times, and quantify the effect of AI-generated outputs on pediatrician decisions. In a prospective, randomized, assessor-blinded, vignette...