Our solution is designed to integrate with compatible full-field digital mammography and digital breast tomosynthesis systems, as well as existing PACS environments
CE-marked under the EU Medical Device Regulation (MDR), ISO 13485 certified, and qualified as Swiss Made Software
Streamline testing with real-time results, vendor integration, and audit-ready GA and HR management.
AI-supported breast density classification and diagnostic image assessment tools provide structured, BI-RADS-based outputs to support radiologist decision-making
The b-rayZ suite is an ever-expanding, modular platform for digital mammography and tomosynthesis. b-rayZ supports healthcare professionals throughout the breast imaging workflow with a modular ecosystem of AI-based tools, driven by the clinical needs of radiologists, technicians, and breast unit managers.
Our full end-to-end platform for mammography:
b-density
The b-density module delivers precise, real-time ACR breast density classification, fully aligned with the 5th edition of the BI-RADS Atlas. Optimized for both tomosynthesis and mammography, it provides standardized recommendations for supplemental ultrasound exams.
With 90% accuracy in decision-making compared to consenting physicians, it ensures confident and reliable support for additional diagnostic needs.
b-quality
The b-quality module delivers real-time feedback on mammogram quality, helping technicians avoid positioning errors and significantly reduce patient recalls.
With Cohen’s kappa scores above 0.9, its image quality assessment perfectly aligns with interpreting physician. Short-term use of the module reduces inadequate clinical images by 60%, ensuring greater efficiency and accuracy in mammography.
b-smart
The b-smart dashboard allows clinical managers to monitor the performances of the breast unit, leading to lean management of resources and optimization of procedures.
The effectiveness of the real-time feedback on image quality can be easily monitored per technologist, per facility, per time-span with the b-smart dashboard.
b-diagnostics
The b-diagnostics module analyses mammographies and generates complete radiological reports, including BI-RADS compliant recommendations with higher specificity than interpreting physicians.
The BI-RADS compliant classification and triangulation of lesions and calcifications aid interpreting physicians in making decisions regarding the management of individual cases.
b-risk
The b-risk module provides a risk score that estimates a woman’s likelihood of developing breast cancer and helps identify high-risk patients, tailor screening plans, and detect early-stage cancers.
Product release coming soon.
Advancing breast imaging with AI.
Advancing breast imaging with AI. Support more consistent imaging assessment and streamline the breast imaging workflow with b-rayZ. Our AI technology delivers structured, timely decision support to radiologists during mammogram interpretation.
Our technology
core:
Data Quality
- Collaborations with TOP ranked European breast cancer centers provide highest annotation precision from expert radiologists
Trained on high-quality annotated datasets from compatible full-field digital mammography and digital breast tomosynthesis systems
Data Annotation
- Multiple annotators eliminate bias in AI performances and assurances performing generalization in different clinical settings and markets
- Medical reports enable more holistic approach
ML Operations
ML Operations and production infrastructures along the whole AI product lifecycle ensure full traceability and monitoring supported throughout the AI product lifecycle
- CI/CD pipeline allow lean deployment of the solutions for effective maintenance and highest customer satisfaction
Cutting Edge Deep Learning Technology
Proprietary deep learning image processing technologies deliver AI-based BI-RADS-aligned detection and classification, with validated performance metrics available in our technical documentation.
- Explainable AI is provided with an ensemble of highly-specialized deep learning algorithms
Integrating b-rayZ in your workflow supports:
- Time efficiency: : Structured AI-based tools to help streamline breast imaging workflow – supporting time savings for operative tasks and reporting.
Operational consistency: : Standardization of procedures in digital mammography and tomosynthesis, compatible with supported full-field digital mammography and tomosynthesis systems — contributing to overall workflow efficiency.
- Documentation: Structured, professionally reviewed audit-ready documentation to support regulatory compliance and reporting.
Diagnostics: : AI-based image quality feedback and breast density classification to support consistent clinical quality management, with all decisions remaining with qualified medical personnel.
Quality improvement: Enhanced consistency of quality assessments with b-rayZ’s technology-supported learning platform for breast imaging teams.
Examples of use cases:
Receive real time information on the PGMI based quality assessment of mammographies to to support consistent mammography image quality management. Help the technician correct recurrent errors in the positioning of the patients in the mammography scanner through graphical didactic feedback. Help identify areas for improvement that Mammography Educators consultants can use to deliver targeted training. Notification of the potential presence of calcification to the radiographer, for awareness and further review by the qualified radiologist.
Standardized breast density classification according to BI-RADS criteria, providing the radiologist with structured information to support clinical pathway decisions. AI-based identification of findings with corresponding suspicion levels and BI-RADS categories, to support the radiologist in the interpretation of mammographic images. Creation of work lists based on breast density, complexity of the cases and the experience of the radiologists. Integrate breast Density outcome into existing reporting, risk assessment results and PACS workflows to boost efficiency and facilitate the decision process.
Produce structured reports for accreditations and audits. Gain a comprehensive view of the breast unit and monitor the team’s performance with automated image quality metrics. Enables retrospective data analysis from current and prior standard DICOM mammograms for benchmarking, monitoring, and trend detection. Manage the reporting process for many technologists and radiologists across multiple imaging sites. Provide objective assessments of mammography positioning and quality and identifying areas for each technologist’s improvement. Filter and route cases abased on multiple criteria’s Exclude post-operative cases from quality reports. Monitor the population of patients based on post-surgery, breast density, pathological findings.
Assist radiologists in the interpretation of mammography images by detecting microcalcifications and lesions. Assist radiologists in the classification of breast lesions as benign or malignant based on the latest BIRADS atlas. Support consistent breast cancer detection assessment within validated performance parameters.. Reduce non-interpretative tasks. AI algorithm updates are managed through a controlled, engineer-supervised user-guided algorithm change protocol, ensuring continued validated performance. Create worklists based on the results of the AI diagnostic module. Reduce reading and release time for the screening volume. Assist radiologists in the detection of arterial calcification for recommendation of further checks.
Provide a risk score that estimates the likelihood of a woman developing breast cancer during her lifetime. Supporting the radiologist identifying and managing high-risk patients by presenting deeper insights on patient’s risk. Creating customized screening plans with automatic follow up recommendations based on risk level. Warning on high-risk patient for additional attention of the reading radiologist. Improve clinical decision-making with key breast density and risk insights in one view. Triage of high-risk patients for prioritization of cases.
*Check availability in your region; product release coming soon.
Streamline your workflow in 3 easy steps.
With b-rayZ’s plug & play solution, integration with your existing systems is quick and hassle-free. After just 30 minutes, you can move on to the next phases for your fully integrated screening solution.
Step 1: Connect and integrate b-box to your local PACS system.
Step 2: Begin installation and team training.
Step 3: Evaluate deliverable and go live.
Join the future of breast imaging.
Improve patient care and streamline your breast imaging process with b-rayZ.
Solutions for Patients
By applying advanced medical imaging technology to breast cancer detection, our solution, the b-box plus (DANAI), offers a precise and reliable evaluation process, helping enhance patient outcomes. By further exploring data sets and developing newer, more efficient technology, we can strive towards even better detectability and improve patients’ health.
Solutions for Institutes
Maintaining a standard of excellence in quality assurance is more important than ever. Radiology is an ever evolving and expanding field. b-rayZ enables radiology institutions to remain compliant over the long term. This reduces potential legal, ethical, and financial risks and offers peace of mind that services are meeting expectations.
Solutions for Health Care Professionals
Healthcare professionals face the challenge of staying ahead of breast cancer through effective and efficient detection. Our b-box plus (DANAI) helps you give patients the best possible care with quick and efficient second standardized opinions. We offer technicians ongoing support so they can continue to improve their performance and provide high-quality services.





