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Fine-tuned open-source large language models outperform zero- and one-shot GPT-4 models in extracting key radiophenotypic variables from cancer patient radiology impressions, achieving high performance even with small training datasets. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Strategies for Deploying Large Language Models for Ascertaining Clinical Outcomes and Sites of Metastases From Radiology Impressions in Patients With Cancer

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