SC PACS has integrated b-rayZ’s AI-powered breast imaging modules into its PACS radiology platform to improve digital medical imaging quality control, and support consistent interpretation in mammography.

Through this integration, radiologists and technologists gain direct access to automated BI-RADS ACR classification and real-time quality assessment within the SC PACS environment—eliminating the need for external tools and streamlining workflow. This is especially valuable in high-throughput or multi-site imaging networks where reproducibility and efficiency are essential.

Thanks to b-rayZ, a Swiss-based medical technology company, developing AI solutions tailored to the clinical demands of breast imaging. Built in close collaboration with radiologists and imaging scientists, its platform delivers structured reporting and quality control across modalities, supporting diagnostic accuracy regardless of equipment or operator variability.

Key clinical features include:

• Real-Time Quality Feedback: Immediate evaluation of image quality at the point of acquisition, reducing repeat rates and supporting technician consistency.

• Standardized BI-RADS Classification: AI-driven classification embedded into the reporting workflow, enhancing documentation consistency and diagnostic reliability.

• Fully Integrated Workflow: Operates natively within SC PACS without workflow disruption or additional interfaces.

• Optimized for Dense Breast Imaging: Algorithms calibrated for both fatty and dense tissue support confident detection across patient profiles.

The combined solution aligns with EU quality assurance protocols and screening standards, helping healthcare providers scale breast imaging services while maintaining clinical precision and regulatory compliance.