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LLMs factor in unrelated information and facts when recommending medical treatments Researchers discover nonclinical details in affected individual messages — like typos, further white space, and colorful language — reduces the accuracy of an AI design. Read through complete story → Far more news on MIT News homepage →Streamline operations: