Article

Comparative analysis of discriminative and generative natural language processing pipelines for automated prostate magnetic resonance imaging reports

2026-07-14

Abstract excerpt

<h4>Objectives</h4> 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 discriminative and generative NLP pipelines for automated extraction of Prostate Imaging a...

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Literature Corpus work: f0366629-578b-5530-9005-146b41c10988
DOI: 10.64898/2026.07.12.26357886

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