The study, revealed in the journal Nature on Wednesday, is the newest to show that artificial intelligence (AI) has the potential to enhance the accuracy of screening for breast cancer, which impacts one in eight women globally.
Radiologists miss around 20% of breast cancers in mammograms, the American Cancer Society says, and half of all women who get the screenings over a 10-year interval have a false constructive result.
The findings of the research developed with Alphabet’s DeepMind AI unit, which collaborated with Google Health in September, signify significant progress in the potential for the early detection of breast cancer, Mozziyar Etemadi, one among its co-authors from Northwestern Medicine in Chicago, stated.
The staff, which included researchers at Imperial College London and Britain’s National Health Service, trained the system to determine breast cancers on thousands of mammograms.
They then compared the system’s efficiency with the precise outcomes from a set of 25,856 mammograms in the U.K. and 3,097 from the USA.
The examine confirmed the AI system might determine cancers with an analogous diploma of accuracy to professional radiologists while decreasing the number of false-positive outcomes by 5.7% in the U.S. group and by 1.2% in the British group.
It further reduced the number of false negatives, where examines is wrongly categorized as usual, by 9.4% in the U.S. group, and by 2.7% within the British group.
These variations mirror the methods through which mammograms are read. In the U.S., only one radiologist reads the outcomes, and the tests are done every one to two years.