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The study demonstrates enhanced diagnostic accuracy for appendicitis, suggesting fine-tuning and retrieval-augmented encoding improve outcomes.
This study explores the impact of fine-tuning combined with a retrieval-augmented encoding approach on encoder language model-generated embeddings for appendicitis diagnosis tasks using patients’ History of Present Illness notes, leading to significantly enhanced diagnostic performance.
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Zohair et al. (2025) studied this question.
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