AI RESEARCH
Multi-Method Validation of Large Language Model Medical Translation Across High- and Low-Resource Languages
arXiv CS.CL
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ArXi:2603.22642v1 Announce Type: new Language barriers affect 27.3M U. S. residents with non-English language preference, yet professional medical translation remains costly and often unavailable. We evaluated four frontier large language models (GPT-5.1, Claude Opus 4.5, Gemini 3 Pro, Kimi K2) translating 22 medical documents into 8 languages spanning high-resource (Spanish, Chinese, Russian, Vietnamese), medium-resource (Korean, Arabic), and low-resource (Tagalog, Haitian Creole) categories using a five-layer validation framework.