Creating a scalable CT yield metric for pulmonary embolisms in the emergency department using an open-source large language model

Open-source, foundational LLMs are an accurate and scalable method for interpreting radiology reports and identifying PEs from ED data and if IT resources are available, this is a cost-effective approach to quality metric derivation for diagnostic processes in large health systems.