LLMs factor in unrelated information and facts when recommending health care treatment options Scientists find nonclinical information and facts in affected individual messages — like typos, extra white Place, and colorful language — reduces the accuracy of the AI model. Read total Tale → Additional news on MIT News homepage →Identified for