From metrics to morals: evaluating ethical and clinical dimensions of AI in ICU decision-making
As large language models (LLMs) become increasingly integrated into clinical decision-making, their ethical alignment is as critical as factual accuracy. However, most evaluations focus on correctness while overlooking dimensions that influence patient outcomes and trust. To assess the ethical and contextual performance of three advanced LLMs—ChatGPT, Claude, and Gemini—across intensive care unit