PrognicaMMG have demonstrated the ability to detect subtle abnormalities in mammograms. By analyzing large datasets and learning from patterns, PrognicaMMG helps reduce false negatives and false positives, leading to improved accuracy in breast cancer detection.
It optimizes the radiology workflow, automating routine tasks such as image preprocessing, quality control, and image classification, thereby reducing the burden on radiologists and improving overall efficiency.