How it Works
WRDensity was trained using deep learning based on over 600,000 images from Mallinckrodt Institute of Radiology, one of the world’s leading radiology research institutes.
Presented within the radiologist's existing workstation making relevant tissue density information available in context, WRDensity can deliver up to a 20% increase in productivity for users of the product.1
Radiologists can disagree with the product at any time and report the breast density based on their own appraisal without any additional clicks.
Details to Note
43% more consistent than radiologists when assessing patient exams across multiple years3
Trained on over 600K images from Mallinckrodt Institute of Radiology
WRDensity’s powerful deep learning model delivers highly accurate breast density classification.4
A longitudinal study5 in 2022 showed that WRDensity produced more longitudinally consistent assessments for patients compared with radiologists, with fewer bi-directional and more constant assessments over time.
What our users say
“Whiterabbit has been a fantastic partner in helping us modernize our breast cancer risk assessment program. From the start, they really listened to us, understood what we needed and provided a sleek, agile program to give answers to our patients. Whiterabbit has been a joy to work with, and are unfailingly nimble, insightful and quick – we greatly appreciate their depth of skill, from programming to design to breast cancer statistics. With WRDensity, we are better able to manage our most at-risk patients.”