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LLMs factor in unrelated details when recommending medical treatment options Scientists come across nonclinical info in affected person messages — like typos, further white Area, and vibrant language — cuts down the accuracy of an AI product. Go through full story → Far more news on MIT Information homepage →Develop interactive, accessible