Blackford and b-rayZ Collaboration Advances Personalized AI Framework for Breast Imaging

Blackford, the pioneering strategic AI platform and solutions provider, and b-rayZ, a Swiss AI powered breast diagnostics provider, today announced a commercial partnership to bring the b-box plus solution to healthcare professionals. Under the partnership, b-rayZ's innovative technology will be integrated with Blackford's enterprise AI platform.

Blackford provides healthcare professionals access to an extensive portfolio of more than 115 medical AI solutions designed to drive clinical efficiencies and improve patient outcomes. By integrating b-rayZ’s advanced technology into the Blackford Platform, Blackford can offer healthcare providers powerful tools for breast cancer detection, density assessment, breast position quality, and workflow optimization.

New to the b-rayZ catalogue is the Custom AI framework DANAI, which allows personalized, custom AI models that cater specifically to the nuanced requirements of breast imaging professionals. This innovative framework is designed to continuously tune and evolve, integrating seamlessly with existing systems to enhance individual diagnostic efficiency, supporting radiologists in delivering the highest quality patient care.

“We’re delighted to partner with b-rayZ and to add their solutions to our market-leading AI portfolio,” said Ben Panter, Founder and CEO of Blackford. “b-rayZ’s commitment to the detection and management of breast cancer is a great fit with our mission to improve the lives of patients by leveraging AI to drive healthcare improvements.”

Prof. Dr. Cristina Rossi, CEO of b-rayZ, shared her vision on the partnership: “Designed to align with the requirements of breast specialists, our solutions are now reaching clients in search of a comprehensive array of highest-quality AI solutions through this collaborative initiative. With Blackford, we uphold a shared work ethic that places customer needs at the forefront, ensuring the highest standards in breast diagnostics and patient care.


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