Article

Generation and Evaluation of Realistic Synthetic Clinical Progress Notes for Prostate Cancer using Large Language Models

2026-05-28

Abstract excerpt

<h4>Background and Objective</h4> Access to real-world electronic health records (EHRs) remains limited by privacy, governance and annotation constraints, hindering the development of clinical natural language processing models. Realistic synthetic progress notes may provide EHR-like corpora that preserve clinically rigorous information on diagnoses, treatments, symptoms, imaging, laboratory findings and therapeu...

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Literature Corpus work: 3a21b5af-fe3d-5db6-aa6d-f74e9fce2a60
DOI: 10.64898/2026.05.25.26354027

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