A new artifact-based agent framework introduces a semantic layer to track provenance in medical imaging. It formalizes intermediate outputs to ensure adaptability and reproducibility during clinical deployment. The system records every transformation and decision explicitly. This allows practitioners to re-execute complex workflows across diverse datasets without losing critical configuration data.