It is now easier detecting lung cancer with Google AI device

Rapid technological advancements are taking place in the health care industry, which has helped the people to upgrade their standard of living. Cancer is still the leading cause of deaths in the whole world. Every year 1.7 million deaths occur due to the lung cancer. Most of them are because the cancer is not detected at early stages, and once it has spread, it is hard to control it.

But it is now easier to detecting lung cancer, with Google new AI model. The Alphabet’s Google team has reported that the researching on the use of Artificial Intelligence that will reduce the risk of cancer. According to the World Health Organization, lung cancer causes more deaths than that of breast, prostate and colorectal cancers combined. The cases which are detected earlier have a chance of recovery, and thus the doctors are finding out new ways to detect the signs of cancer in high-rick cancer patients.

The radiologists use the 2D models of images which are scanned in a CT scan, which makes it harder for them to detect the cancer. But the use of Google’s new AI model will enable the radiologists to get a 3D printed image of the lungs, which will make it easier to detect the cancer. Not only that, the AI model will generate an overall 3D volume for the detection of lung cancer malignancy, which will help to identify the infectious lung tissues.

In a survey, it was found that Google AI model worked far better in detecting lung cancer than the 2D CT scan the radiologists initially used. This revolutionary technology can change the face of the health care industry. The detection of lung cancer at an early stage will help the doctors to cure the disease early and increase the life expectancy of the patients.

“In late 2017, we began exploring how we could address some of these challenges using AI. Using advances in 3D volumetric modelling alongside datasets from our partners (including North-western University), we’ve made progress in modelling lung cancer prediction as well as laying the groundwork for future clinical testing”, says Shravya Shetty, Google’s technical lead.

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