An artificial intelligence algorithm can be just as accurate at identifying breast cancer as a radiologist, according to a study published in JAMA Oncology.
“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 via a press release. “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.”
In this study, researchers evaluated 8,805 women between the ages of 40 and 74, all of whom had undergone breast cancer screening between 2008 and 2015. Of the study population, 739 had been diagnosed with breast cancer, either at the time of screening or within the following 12 months. The researchers observed the most successful of the three AI algorithms diagnosed the same percentage of women with cancer as the average radiologist.
AI as good as the average radiologist in identifying breast cancer https://t.co/AZzG44TNXQ
— Cancer News Network (@cancer_network) August 27, 2020
“We conducted the study in order to find out how far the algorithms have developed and whether there is any difference between the available systems,” Fredrik Strand explains. “The results show that, in principle, the best algorithm is ready for use and that there is a significant difference between the various algorithms on the market.”
— James Igoe (@JamesJosephIgoe) August 27, 2020
AI as good as the average radiologist in identifying breast cancer https://t.co/JzuAHgjKiy
— Cision News (@CisionNews) August 27, 2020