We are thrilled to hear that the Innovation Council has approved the Innosuisse application of our client b-rayZ with the title b-box: a stand-alone AI platform for breast cancer imaging.

It is a highly innovative project with three main partners: b-rayZ, the Lucerne University of Applied Sciences and Arts and confinis.

Early detection of breast cancer by mammography allows more treatment options and reduction in mortality.

However, catching cancer is difficult in patients with a dense breast tissue and in poor quality images. Nowadays, radiologists rare mammographies in terms of breast density and diagnostic quality, which leads to:

– More administration
– Long waiting times for patients
– High costs for institutions
– Doctor-depended decision
– High administrative burden on radiologists
 

Early detection of breast cancer by mammography allows more treatment options and reduction in mortality. Today mammography lacks of a fast and robutst assessment of mammographic breast density and image quality for improved breast cancer detection and reduction of health costs. 

Empowered by Artificial Intelligence the b-box, like a doctor, supports the technicians’ daily work, by assessing the breast density and mammographic image quality. b-box’ main features.

– Artificial intelligence algorithms mimicking doctor decisions

– Real time feedback
– Automatic breast density classification according to the BI-RADS ACR catalogue
– Automatic image quality classification according to the PGMI criteria
– High clinical accuracy (determination of mammographic breast density using a deep convolutional neural network)
– Adaptable to each clinical site

We are more than happy to be the regulatory partner and contribute with our know-how and expertise regarding artificial intelligence and machine learning.