Answers are grounded in this paper and cite their sources.
Proof-of-concept study evaluates real-time AI translation in interventional radiology consent simulations across nine languages, highlighting automated translation feasibility.
Purpose: Language barriers in healthcare lead to miscommunication, reduced comprehension, and adverse outcomes. Professional medical interpreters are the gold standard, but are often unavailable for interventional radiology consent discussions. Recent advances in large language models such as GPT-4o have shown high accuracy in multilingual tasks. We conducted a proof-of-concept internal validation of GPT-4o as a live bilingual translation tool in interventional radiology consent simulations across nine languages.
No takes yet. Share an insight, caveat, or question.
Mitreski et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: