Abstract AI-enabled tools increasingly influence clinical decisions, patient journeys, and digital health services, yet many deployments struggle with opaque decision-making, fragmented governance, and limited engagement with clinicians and patients. This article presents a structured narrative review and conceptual capability-centric framework for responsible healthcare AI that treats AI not as a monolithic system, but as a set of modular capabilities to be understood, integrated, and governed