2020 Begins Happy: Robots switch doctors to diagnosis of breast cancer

It results in more accuracy in spotting mammography, according to a new study published in Nature magazine. An international team, which included researchers from Google Health and Imperial College London, drafted an X-ray computer model of nearly 29,000 women. The algorithm managed to overcome six radiologs in the reading of mammography; it even proved better than two doctors working together. Unlike humans, artificial intelligence is hard work, and experts believe that it can significantly improve efforts to uncover the disease.

In the British health system, each woman's X - rays are analyzed by two radiologs, and in rare cases, when they disagree with each other, the opinion of a third physician is taken. In recent studies artificial intelligence was quite successful in detecting cancer, despite the fact that, unlike doctors, there was no access to women's health data file. A doctor or a specialist needs more than a decade to become a radiologist capable of interpreting mammmography. X-ray reading is an extremely important but very consumer job, the BBC says, and currently in the United Kingdom there is a shortage of over 1,000 radiologs.