Our solution creates a vendor-neutral “standardization layer” for CT imaging by combining custom 3D-printed phantoms with software to detect and correct data drift at the source. The system monitors scanner performance weekly and harmonizes image data in real time before it reaches diagnostic AI models. Unlike reactive post-processing methods, we calibrate the imaging pipeline itself, ensuring regulatory-grade reproducibility across sites and devices. This eliminates costly AI retraining, stabilizes model performance over time, and safeguards clinical workflows and clinical-trial data integrity.