Muhittin Atar

Large language models for invasive urodynamic interpretation: a blinded comparison with experienced urologists

Abstract Background and objective Large language models (LLMs) are increasingly explored as clinical decision-support tools, but their performance in invasive urodynamic interpretation remains poorly characterized. This study compared the diagnostic agreement of four LLM configurations with two blinded experienced urol...