Comparison of techniques for fine-tuning open-weight models for entity extraction from radiology reports
Fine-tuned Gemma-3-12B matches GPT-4o on hemorrhage extraction when distilled from real reports.
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Fine-tuned Gemma-3-12B matches GPT-4o on hemorrhage extraction when distilled from real reports.
LLM pipelines lose up to 40.5 accuracy points at stage interfaces; re-grounding after the loss helps.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
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