AI-Based Algorithm More Accurate Than Human At Detecting Cervical Cancer

A research team has developed a computer algorithm based on Artificial Intelligence, which can recognize cervical cancer more accurately than an expert. It is considered a revolution in screening, especially in areas with limited healthcare resources.

It is called automated visual evaluation and is able to analyze a cervix’s digital images and have an accurate recognition of precancerous changes requiring medical attention.

This approach can be carried out with minimal training, which assists countries with low-quality healthcare resources in which cervical cancer causes almost diseases and death cases among women.

Especially, according to the research team, the algorithm can identify precancer more accurately than conventional cytology and human expert.

The US National Cancer Institute’s Mark Schiffman shared:

He added:

Pap test is used for screening cervix.

This algorithm requires over 60,000 images of the cervix and the participation of over 9,400 women.

This new discovery is released in the National Cancer Institute’s journal. The approach had a better performance than other standard tests for screening and predicting all diagnosed cases.

In addition, according to the researcher team, when the algorithm goes with emerging technologies in HPV detection, treatment improvements, and HPV vaccination advances, it is likely to control cervical cancer in most areas, even in places with limited healthcare resources.

In the coming time, the researchers tend to have the algorithm training on a group of cervical precancers’ representative images and women’s normal cervical tissue in different communities in the world, which uses a various kind of cameras and imaging options.