Augmenting patient safety surveillance in radiation oncology with large language model-based root cause analysis: A proof-of-concept study

We investigated the potential utility of large language models (LLMs) in supporting patient safety efforts. Specifically, we evaluated the reasoning capabilities of LLMs in performing root cause analysis (RCA) of radiation oncology incidents using narrative reports from the Radiation Oncology Incid