Two stage large language model approach enhancing entity classification and relationship mapping in radiology reports.

A chi-square test revealed a highly significant performance difference between negated and non-negated reports for BERT (χ2 ≈ 300.46, p < 0.001), suggesting that the BERT model is particularly sensitive to negation.

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