Wednesday , January 27 2021

Artificial intelligence is better than doctors for finding cows



Artificial Intelligence (AI) can be prepared to eliminate cervical cancerAccording to a Thursday study, computer algorithms that have been trained or those who have experienced traditional test procedures can be identified by surgery.

According to the World Health Organization (WHO) Cervical cancer is the fourth most common cancer of women. In the year 2018, there were 570,000 new cases globally.

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, about 266,000 people died of cervical cancer, 90 percent of whom died and in middle income countries died.World Health Organization.

"Cervical cancer is now suffering from a lack of resources." "Says the study author Mark Sheffman.She is the Doctor of Cancer and Cancer Genetics, the National Cancer Institute, located in Washington, DC, seeking for a cure for the disease for 35 years.

"We are trying to cope with cervical cancer with increasing cure, but it's very easy to find, but it's very accurate," he said, adding a little later on through a simpler technology-based technology.

Schiffman is part of a team that created an algorithm for more than 60,000 cymbots in Costa Rica.

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.

The highest risk for cervical cancer among women between the ages of 25 to 49 is most commonly known as AI algorithm.

"He saw such pictures and worked better, and he was better than me."

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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