Abstract
Clinical artificial intelligence (AI) promises to enhance patient care, streamline workflows, and improve health outcomes. AI tools have increasingly been integrated into a variety of healthcare settings. Despite rapid adoption, there is limited understanding of which leadership and organizational paradigms can best support effective AI implementation in clinical settings. This article examines frameworks of organizational culture and leadership structures that can help guide the advancement of clinical AI.