A new framework introduces a semantic layer to track provenance in medical image processing. It formalizes intermediate outputs as artifacts to ensure reproducibility and adaptability during clinical deployment. Researchers can now record every transformation and decision explicitly. This approach solves the gap between controlled benchmarks and real-world clinical deployment for practitioners.