Medical misinformation more likely to fool AI if source appears legitimate, study shows

In tests of 20 open-source and proprietary large language models, the ⁠software was more often tricked by mistakes in realistic-looking doctors’ discharge notes than by mistakes in social media conversations, researchers reported in The Lancet Digital Health.

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