Comparative evaluation of large language models for preliminary diagnosis and initial treatment decision-making in intensive care unit emergencies
Aims: Timely and accurate decision-making is essential in intensive care unit (ICU) emergencies, where delays or errors in preliminary diagnosis and initial treatment may lead to adverse outcomes. Large language model–based Artificial Intelligence (AI) systems have shown promise in clinical reasoning tasks, yet their p...