Governing Adaptive Clinical Artificial Intelligence: Structural Failure Modes, Auditability, and Infrastructure for Decision Safety

This framework serves as the program-level synthesis and research roadmap for a multi-manuscript agenda in clinical artificial intelligence governance. Constituent works include peer-reviewed journal articles, publicly archived preprints, and working papers addressing complementary aspects of governance-induced failure modes, adaptive oversight, and institutional constraint. The intended audience includes clinicians, health informaticians, machine learning researchers, regulators, policymakers, and institutional leaders responsible for the deployment and oversight of adaptive AI systems in healthcare.