Automating standardization of prostate cancer biopsy and histopathology reports with privacy-preserving local large lang

PURPOSE: Large-scale biomedical analysis in prostate cancer requires structured, tabular datasets, yet most clinical documentation remains in free-text format. The standard of manual data abstraction is time-consuming, error-prone, non-reproducible, and costly. We hypothesized...

• Source: Radiology AI literature (PubMed) (AI)
• Type: Research

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