AI Translation Errors in Medical Care Pose Deadly Risks for Non-English Speakers
AI translation tools are increasingly used in healthcare to bridge language gaps, but studies show they frequently produce critical errors that can endanger patient safety. While human interpreters remain scarce, unsupervised AI use lacks standardized accuracy metrics, leading to dangerous mistranslations of medical instructions. Policy changes have further reduced support for non-English speakers, exacerbating these risks.
