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This AI approach accurate than doctors at detecting cervical cancer

IANS  |  New York 

Researchers have developed a novel (AI)-based that can identify with greater accuracy than a human expert, an advance that could revolutionise screening, particularly in low-resource settings.

The algorithm, called automated visual evaluation, can analyse digital images of a cervix and accurately identify precancerous changes that require medical attention.

It can be performed with minimal training, making it ideal for countries with limited where is a leading cause of and death among women.

Importantly, the automated visual evaluation identified precancer with greater accuracy than a human expert review or conventional cytology, the researchers said.

"Our findings show that a can use images collected during routine screening to identify precancerous changes that, if left untreated, may develop into cancer," said Mark Schiffman, from the in the US.

"In fact, the computer analysis of the images was better at identifying precancer than a human expert reviewer of Pap tests under the microscope (cytology)," Schiffman said.

Pap test is the test.

To create the algorithm, the research team used more than 60,000 cervical images and included more than 9,400 women.

The findings, published in the journal of the National Cancer Institute, showed that overall, the algorithm also performed better than all standard screening tests at predicting all cases diagnosed.

"When this algorithm is combined with advances in vaccination, emerging detection technologies, and improvements in treatment, it is conceivable that cervical cancer could be brought under control, even in low-resource settings," the researchers said.

Further, the team plans to train the algorithm on a sample of images of cervical precancers and normal cervical tissue from women in communities worldwide, using a variety of cameras and other options.

--IANS

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(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

First Published: Fri, January 11 2019. 16:48 IST
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