Artificial intelligence was able to abandon radiologists in the diagnosis of breast cancer

Reports indicate that artificial intelligence assistance to radiologists has reached the level of diagnosis of breast cancer in real experiments.

The help of artificial intelligence in the diagnosis of breast cancer has caused a lot of discussion; Recently a real experiment with the presence of 4 radiologists has shown that the technology could improve the success of breast cancer.

According to the above experiment, the largest study of its kind, artificial intelligence models can really help diagnose cancer and reduce the volume of physicians; Radiologists who chose artificial intelligence were able to identify 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 intelligence to identify 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 present in this experiment could help the artificial intelligence selection for the examination. Finally, 1,600 patients were examined by artificial intelligence with radiologists, with 2,800 patients being studied and only examined by radiologists.

Among women who chose artificial intelligence during examination, the diagnosis rate was 1.5 % of the thousand patients, which was 4.9 percent 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 patients.

Sampling of women who had been suspected of cancer suspected of cancer resulted in cancer cells in 4.3 %; In the meantime, 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 intelligence improved the diagnosis of breast cancer was very positive and beyond our expectations,” Alexander Catalytic said in a statement. “We can now show that artificial intelligence significantly improves the diagnosis of cancer in breast cancer screening.” “A recent study showed that policymakers should accept artificial intelligence as soon as possible,” says Ben Glaker at the London College of London. According to him, with the proper integration strategy, the use of artificial intelligence is both safe and effective.