Is Google’s AI better than humans to spot lung cancer?

 

AI, lung disease

Few Scientists at Google who have developed a model of artificial intelligence which they claim to be better at diagnosing lung cancer than any human experts is an advance that also could lead to the earlier treatments for the deadly diseases.

Deep learning which is also a form of artificial intelligence was able to detect the malignant lung nodules on low-dose chest computed tomography (LDCT) scans with performance meeting or exceeding that of expert radiologists as researchers said.

The system which was previously described in the journal Nature Medicine provides an automated and image evaluation system to enhance the accuracy of all the early lung cancer diagnosis that could lead to earlier treatment.

Also, the deep-learning system was compared against the radiologists on LDCTs for patients, some of them who had biopsy confirmed cancer within a year. In most comparisons, the model performed at or is better than radiologists.
And Deep learning is a technique that teaches computers to learn by example.

“Few Radiologists who examine many hundreds of two-dimensional images or ‘slices’ in one single Computed Tomography scan whereas this new machine learning system views the lungs of a person in a huge, single three-dimensional image as said by Mozziyar Etemadi, who is a research assistant professor

Artificial Intelligence in 3D can be much more sensitive in its ability to detect early lung cancer than the human eye, which looks at 2D images. By the way, this is technical ‘4D’ because it is not only looking at one particular CT scan, but two overtime said Etemadi.

To build Artificial Intelligence to view the CTs which are in this way, you will require a large computer system of Google-scale. This concept is novel, but the actual engineering of this is also novel because of the scale few said.
As this research is incredibly important, because lung cancer has the highest rate of mortality among all the cancers, and there are many challenges in the way of broad adoption of screening as said by Shravya Shetty who is a technical lead at Google.

As our work examines ways in which Artificial Intelligence can be used to improve the accuracy and also optimize the screening process, in such ways that could help with the implementation of screening programs. And the results are promising, and we also look forward to continuing our work with partners and peers said, Shetty.

And the Large clinical trials across the US and Europe have also shown that chest screening can identify cancer and reduce death rates few researchers said.

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