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Large language models for patient education prior to interventional radiology procedures: a comparative study

Abstract Purpose This study evaluates four large language models’ (LLMs) ability to answer common patient questions preceding transarterial periarticular embolization (TAPE), computed tomography (CT)-guided high-dose-rate (HDR) brachytherapy, and bleomycin electrosclerotherapy (BEST). The goal is to...

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Principais autores: Bogdan Levita, Semil Eminovic, Willie Magnus Lüdemann, Dirk Schnapauff, Robin Schmidt, Anna-Maria Haack, Andrea Dell’Orco, Jawed Nawabi, Tobias Penzkofer
פורמט: Artigo
שפה:Inglês
יצא לאור: SpringerOpen 2025-10-01
סדרה:CVIR Endovascular
נושאים:
Large language models
Interventional radiology
Patient education
גישה מקוונת:https://doi.org/10.1186/s42155-025-00609-z
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