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Observational analysis reveals ethical gaps in AI use in health care, suggesting patient-informed labels improve trust.
The findings highlight ethical gaps in using AI in health care settings and the value of publicly informed, patient-centered solutions. There is strong demand for clear, accessible information on how AI tools are used and their risks and benefits. A patient-informed label may address these ethical challenges and improve transparency, trust, and patient-centered communication as AI reshapes health care.
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Sielaff et al. (2026) studied this question.
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