Automated Extraction of Unstructured Post-SBRT Toxicity Data from Radiology Reports for Database Curation Using Large Language Models
Large, well-annotated databases are necessary for the development of personalized outcomes models. We evaluated the viability of using a Large Language Model (LLM) to extract patient-specific specific toxicity and progression outcomes from unstructured radiol...
Poster Program · Therapy Physics