AI system as good as the average radiologist in identifying breast cancer

Researchers at Karolinska Institutet and Karolinska University Hospital in Sweden have compared the ability of three artificial intelligence (AI) algorithms to identify breast cancer based on previously taken mammograms. The best algorithm proved to be as accurate as the average radiologist. The results, published in JAMA Oncology, may lead the way in reorganising breast cancer screening for the future. "This is the first independent comparison conducted to assess the accuracy of several different AI algorithms," says study author Fredrik Strand, a researcher at the Department of Oncology-Pathology at Karolinska Institutet and a radiologist at Karolinska University Hospital. "We can demonstrate that one of the three algorithms is significantly better than the others and that it equals the accuracy of the average radiologist."