Article

Language-dependent diagnostic safety of medical AI systems: a cross-lingual benchmarking and prospective clinical study

2026-05-21

Abstract excerpt

<h4>Summary</h4> <h4>Background</h4> Patients worldwide receive healthcare in many languages, yet medical AI systems are validated almost exclusively in high-resource languages such as English and Chinese, exposing patients in other linguistic settings to unquantified diagnostic risk. Existing multilingual evaluations rely on translated research-style benchmarks that fail to capture authentic clinical work. We a...

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Literature Corpus work: 4717ff05-f929-5d0c-bf96-6c3ea5b9927f
DOI: 10.64898/2026.05.19.26353490

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