This is why 300+ million mammograms were conducted worldwide last year.
But only 3 out of 100 screened women actually have suspicious findings and need to be recalled.
What if a machine learning model could flag a large portion of the normal exams?
So that screening physicians can focus on the potentially suspicious exams which have a higher likelihood of being positive for cancer.
Vara flags normal mammograms with very high confidence so screening radiologists can focus on what really matters most for women: finding breast cancer as early as possible.
Vara alerts the screening radiologist to take a second look at an exam they reported as normal when Vara has detected a suspicious finding.