Anita Széll

Guideline‐augmented prompting improves comparative preference and response consistency of large language model outputs for orthopaedic anaesthesia questions: A controlled prompting study

Abstract Purpose Large language models (LLMs) are increasingly used in clinical contexts; however, performance in complex perioperative decision‐making remains uncertain. Orthopaedic anaesthesia presents a demanding test case due to comorbidity burden and guideline‐dependent management. Whether successive LLM generatio...