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A. Pradhan

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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
Open access Jul 2026

Evaluation of four large language models on complex, infectious disease case scenarios

On complex ID scenarios, large language models responses were variable and caution is required when deploying these models in ID domains without specialist oversight, suggesting caution is required when deploying these models in ID domains without specialist oversight.

A. Pradhan, B. Waxse, W. Matias et al. · 0 citations

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