Reports indicate that artificial ielligence assistance to radiologists has reached the level of diagnosis of breast cancer in real experimes.
The help of artificial ielligence in the diagnosis of breast cancer has caused a lot of discussion; Recely a real experime with the presence of 4 radiologists has shown that the technology could improve the success of breast cancer.
According to the above experime, the largest study of its kind, artificial ielligence models can really help diagnose cancer and reduce the volume of physicians; Radiologists who chose artificial ielligence were able to ideify one more of every 1,000 breast cancer.
Alexander Catalytic used mammography at the University of Laluckle Germany and his colleagues with approximately 5 reputable radiologists to test a trained artificial ielligence to ideify the symptoms of breast cancer from mammography.
Radiologists examined 1,800 women on 2 breast cancer screening sites in Germany between July 1 and February 1; Each of the women prese in this experime could help the artificial ielligence selection for the examination. Finally, 1,600 paties were examined by artificial ielligence with radiologists, with 2,800 paties being studied and only examined by radiologists.
Among women who chose artificial ielligence during examination, the diagnosis rate was 1.5 % of the thousand paties, which was 4.9 perce higher than the rate of diagnosis among women who only chose radiologist examination; The rate of diagnosis among women who had chosen the radiologist’s examination was 1.5,000 in thousands of paties.
Sampling of women who had been suspected of cancer suspected of cancer resulted in cancer cells in 4.3 %; In the meaime, the sampling of women who had been suspected of cancer suspected cancer in 4.3 % of cases led to cancer cells.
“The scale in which artificial ielligence improved the diagnosis of breast cancer was very positive and beyond our expectations,” Alexander Catalytic said in a stateme. “We can now show that artificial ielligence significaly improves the diagnosis of cancer in breast cancer screening.” “A rece study showed that policymakers should accept artificial ielligence as soon as possible,” says Ben Glaker at the London College of London. According to him, with the proper iegration strategy, the use of artificial ielligence is both safe and effective.
