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GovernanceAugust 20, 2026Source: PMC
Alignment of Policy, Practice, and Patient Safety for Trustworthy AI in ...
This review argues that safe and trustworthy AI requires lifecycle governance that addresses both regulatory science and implementation science. It highlights the need for bias and equity requirements, stronger data governance, and impact assessments to protect patient safety.
LOG Standards provides this short context and directs readers to the named publisher for the complete report. The source article remains the authoritative account of the underlying reporting.
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LOG Standards provides an independent accreditation signal for AI models used in healthcare, helping hospitals, care networks, and AI companies bring clinical AI readiness and governance into clearer conversations.
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