Researchers from the University of Chicago have found its automated AI breast cancer screening system, QView Medical, reduces reader interpretation times by 33%. The study, at the University of Chicago, was said to be the first of a concurrent-read AI/CAD system. The new system is based on a deep learning model that learns to interpret text and images in medical images. Analysis of ABUS screenings, while extremely precise, is time consuming. QView Medical turns each 3D ABUS ultrasound into a synthetic 2D image, speeding up the analysis by drawing attention to areas which may suggest breast cancer.
Researchers from the University of Chicago have found its automated AI breast cancer screening system, QView Medical, reduces reader interpretation times by 33%. The new system is based on a deep learning model that learns to interpret text and images in medical images. Analysis of ABUS screenings, while extremely precise, is time consuming. QView Medical turns each 3D ABUS ultrasound into a synthetic 2D image, speeding up the analysis by drawing attention to areas which may suggest breast cancer.