Comparative analysis of discriminative and generative natural language processing pipelines for automated prostate magnetic resonance imaging reports
Objectives: Natural language processing (NLP) can enable scalable extraction of clinically relevant information from unstructured radiology reports retrieved from electronic healthcare data warehouses, but reliance on externally hosted models may pose cost, privacy, and deployment challenges. We compared self-hosted di...