Featured News

Meet us at the Swiss Congress of Radiology in St. Gallen! We will present our b-box for fully automatic classification of mammographic breast density and evaluation of mammographic image quality using AI.

Our AI algorithm mimics human decision-making to detect, highlight, and classify ultrasound breast lesions according to the international guidelines. Thanks to the high accuracy, the algorithm serves for a better standardization of lesion classification in the clinical routine.

In the excellent company of extraordinary female professionals active in the medtech scene.

Venture Kick Phase 1:
High image quality and reliable breast density classifications are indispensable for early breast cancer detection.
Venture Kick just awarded b-rayZ with 10.000  CHF to improve breast cancer detection with AI.

The radiologists little helper….
AI will not substitute the diagnosis made by a trained radiologist but it can support and augment radiological diagnosis. We are proud to be featured in the Wochenzeitung (WOZ), with our first educational implementation of the b-box at the University Hospital Zurich.

b-rayZ wins the “Q-Idea” Award of the University Hospital Zurich. We are excited to go the next step, making standardized mammographic quality control and automatic breast density assessment economically substainable.

Thank you for the invitation to the Schweizer Akademie der technischen Wissenschaften (SATW) and the interesting discussion about artificial intelligence for clinical applications.

It was a big pleasure to contribute to the teaching film for high school in cooperation with Swisscom and with the young Elena.

Exciting presentation of the b-box prototype at the “Festsymposium: Kompressionsfreies Spiral-CT zur Darstellung der weiblichen Brust“ (October 5th 2018, University Hospital Zurich)

Mammographic Breast Density AI software presented for the first time in an interview of Prof. Andreas Boss for SRF Puls.