We have visualized predictions of interval cancers for both clinicians and women, with the goal of offering high risk women a personalized visualization supporting their breast self-checks. The women who would like to know about their breast interval cancer risks, will get more information about where in her breasts they should put additional attention.  Our hypothesis is that these women will pay more attention during the two-year gap between screening exams, and that could give an earlier detection of interval cancers. In this session we are presenting the progress we have made so far with our prototypes and user testing at AI Sweden with both clinicians and women.