الذكاء الاصطناعي في العالم - أهم الأحداث من 4 يونيو 2026

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arXiv:2601.09853v3 Announce Type: replace-cross Abstract: Real-world health questions from patients often unintentionally embed false assumptions or premises.

In such cases, safe medical communication typically involves redirection: addressing the implicit misconception and then responding to the underlying patient context, rather than the original question.

While large language models (LLMs) are increasingly being used by lay users for medical advice, they have not yet been tested for this crucial competency.

Therefore, in this work, we investigate how LLMs react to false premises embedded within real-world health questions.