Alignment of Policy, Practice, and Patient Safety for Trustworthy AI in Healthcare

A recent open-access article analyzes how policy frameworks, clinical practice, and patient safety requirements intersect to support trustworthy AI in healthcare. The authors compare U.S., EU, and global governance regimes, highlighting how bias and equity requirements are often only encouraged rather than mandated, and argue that stronger data governance and fundamental rights impact assessments are needed for AI used in patient care.