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Nilsun Kuas

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#artificial intelligence Open access Sep 2026

Preliminary evaluation of a large language model for pediatric uroflowmetry interpretation: a single-center comparative analysis with local expert consensus

This study aimed to evaluate the performance of a large language model (LLM)-based artificial intelligence system in interpreting pediatric uroflowmetry (UFM) results using both conceptual knowledge and real-world clinical data. This retrospectively designed study involved a two-stage evaluation. In the first stage, 15...

Nilsun Kuas, Aylin Gençler · 0 citations

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