'Anaesthesia Support through Knowledge retrieval with Large Language Models'
A comparative study assessing the speed and accuracy of a mini-Large Language Model in retrieving information from anaesthesia guidelines compared to manual clinician look up. The study aims to demonstrate that LLMs can safely and rapidly retrieve information from verified sources potentially enhancing guideline accessibility for clinicians.
