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LLMs factor in unrelated details when recommending health-related treatment options Researchers locate nonclinical details in affected person messages — like typos, additional white space, and vibrant language — decreases the accuracy of the AI product. Read through comprehensive story → Additional news on MIT Information homepage →A GenSQL