A recent poll found about one in four U.S. adults used AI tools for health information, citing convenience, cost, or privacy, while rollout examples show both interest and skepticism about accuracy. The Sentri7 failure to detect fentanyl thefts at a hospital illustrates that AI shortcomings can affect not only consumer-facing advice but also internal clinical safety systems. That gap reinforces calls for better validation, transparency, and oversight as more people and institutions turn to AI for health-related decisions and operations.
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