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R. Hammond

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#small language model Open access Oct 2026

Can large language models extract travel history from clinical text? A multi-annotator benchmark study

An annotation framework covering key aspects of travel history, including destination, exposures, travel duration, and multiple temporal variables is developed, used to annotate a corpus of 100 clinical case reports by five clinicians, yielding over 5,000 clinician annotations.

P. Kanithi, A. Pradhan, H. Cui et al. · 0 citations

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