The adoption of artificial intelligence (AI) into clinical practice in radiology can be facilitated by following a structured pipeline for implementation. In this paper, we propose a practical framework for the responsible implementation of AI through four phases: validation, deployment, value assessment, and post-deployment surveillance. Validation involves retrospective or offline testing on institutional data to assess the model’s local performance. Deployment progresses through limited trial…