Translating AI from pilot to practice in medical imaging presents unique challenges—from data integration and workflow alignment to clinical validation and regulatory compliance. This panel explores the realities of deploying imaging AI tools at scale and the critical importance of post-market monitoring to ensure ongoing safety, accuracy, and trust. Experts will discuss lessons learned from real-world implementation, frameworks for continuous performance evaluation, and strategies for maintaining clinician confidence and patient benefit long after deployment.