Can AI help radiologists detect breast cancer earlier while reducing their workload? Transpara Breast AI analyses mammograms, assigns a risk score and highlights suspicious areas for closer review. The radiologist remains responsible for the diagnosis, but gains a second pair of eyes that can help identify subtle abnormalities.
In the randomized MASAI screening trial involving more than 100’000 women, AI-supported reading detected 29% more cancers than standard double reading, while reducing the image-reading workload by 44%. The increase did not lead to more false-positive findings.
This shows how AI can strengthen an established medical device: the mammography system produces the image, while intelligent software helps turn it into actionable information for the physician.
