Artificial Intelligence (AI) can be prepared for the eradication of cervical cancer, according to a last Thursday study, trained surgeons or pre-existing surgeries can be identified as well as trained specialists.According to the World Health Organization, cervical cancer is the fourth-worst cancer in women. In the year 2018 there are 570,000 new cases worldwide.In recent years there has been much progress in the identification and vaccination to prevent the spread of the human papillomaoma virus. However, these findings are often useful for women in rich countries. .
In 2012, 266,000 people worldwide died from cervical cancer, with less than 90 percent of them and in middle-income countries, the World Health Organization (WHO) said."Fungus is now a low-deficiency disease." Mark Schiffman of the Clinic of Cancer Epidemiology and Genetic Diversity at the National Institute for Cancer Research The disease is 35 years.
"It's very easy to find, it's extremely easy to find, but it's very accurate, we're able to hit the cervical cancer with increasing progress, and a little bit later through a simple technique based on the cell phone," he said.
A file containing more than a Skype file was an algorithm that was created Costa Rica has collected cysts of 60,000.Image speculative, small light and camera without the need for advanced images.The study began in the 1990s. More than 9,400 women aged 18 years were included.The AI technology, known as the automated VP, is found to have identical cells with 91% accuracy, according to the National Cancer Institute's Journal.
In comparison, 69% of cancer patients have been diagnosed by a medical specialist and have been found in conventional laboratory tests, such as 71% of panicoclopentol.Women who are between the ages of 25 and 49 most likely to have the highest risk of cervical cancer are women algorithms. 97.7% of its immune cells have been found."I was more than people I had seen with similar images, and he did something better than me," said Jeffman.The aim is to bring technology to next three to five years. Clinical trials around the world can be registered with a large number of patients and eventually easier everywhere.
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