Comparative analysis of discriminative and generative natural language processing pipelines for automated prostate magnetic resonance imaging reports
Self-hosted discriminative and generative NLP pipelines were more efficient than generative models in annotating PIRADS from mpMRI report text, providing insights into configurations for optimal clinical deployment when volume is a limiting factor.