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Google’s new AI System More Effective than Humans to Detect Lung Cancer

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WASHINGTON – Scientists at Google have claimed that an Artificial Intelligence model developed by them is more effective than human experts in detecting the lung cancer. The AI-based system uses Deep Learning to detect malignant lung nodules on LDCT (low-dose chest computed tomography) scans. This would help to ensure the early diagnosis of lung cancer and hence, it will be possible to treat the disease in its earlier stage. An automated image evaluation system would help to enhance the accuracy in the early diagnosis of the deadly disease. While comparing the results with that of radiologists, it was found that the deep-learning based system works better than those radiologists.

Deep-learning technique uses 3D images. But radiologists carry out the diagnosis of lungs by detecting thousands of 2D images. Hence, it makes the whole process easier to detect any tumor with the help of 3D images.

A research assistant professor at Northwestern University in the United States, Mozziyar Etemadi, shared, “AI in 3D can be much more sensitive in its ability to detect early lung cancer than the human eye looking at 2D images. This is technically ‘4D’ because it is not only looking at one CT scan, but two over time. In order to build the AI to view the CTs in this way, you require an enormous computer system of Google-scale. The concept is novel but the actual engineering of it is also novel because of the scale.”

The research highlights the importance of AI-based technology, as it would make the entire screening process a lot easier if executed well. Hence, by early detection of lung cancer, it will be possible to reduce the mortality rate as lung cancer contributes to the highest number of deaths.

In the Deep-learning technology, both primary CT scan as well as prior CT scan results are taken into consideration. This makes it feasible to predict lung-cancer malignancy risk and hence detect the lung cancer in its earlier stage. The new AI-based system has been tested for over 6,000 de-identified CT scan sets in order to study its accuracy. And, it was found that this system helps to spot minuscule malignant nodules easily.

From television to the internet platform, Jonathan switched his journey in digital media with Bigtime Daily. He served as a journalist for popular news channels and currently contributes his experience for Bigtime Daily by writing about the tech domain.

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Maveryx – The best automated software testing tool

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Which software, among the many available solutions, do you know will be the ideal fit for your company? Well then, let’s just dive deep into it. Despite beginning in 2009 as an open-source initiative, Maveryx was created in 2012.

During a meeting in front of the “Castel dell’Ovo” and the “Island of Megaride,” two of Naples’ most emblematic sites, the concept for Maveryx emerged. This is the reason the project was originally going to be called “Megaride.” The test automation tool was named “Maveryx,” derived from the founders’ terms when the first public version was prepared. The business was established with the same name, and its main office is still in front of the Island of Megaride.

The Maveryx automated software testing tool is a powerful, application-independent tool that can test any software. It is based on the Java platform and can test web applications, thick-client applications, and even mobile apps. The Maveryx automated software testing tool is unique because it does not require scripting or coding. This means that it is very user-friendly and can be used by anyone, even those with no coding experience. 

The Maveryx automated software testing tool offers functional UI, regression, data-driven, and codeless testing capabilities for various desktop and Web technologies. Its cutting-edge and intelligent technology examines the UI of the program while it is running, just like a senior tester would. Using Maveryx, you can automate early and reduce the time it takes to market without sacrificing quality.

Advanced functional and regression testing features from Maveryx make it possible for inexperienced and seasoned testers to create reliable automated tests for desktop and web apps. Maveryx enables you to design efficient and effective tests using either a traditional or agile approach, with or without coding. The clever object identification engine of Maveryx is its most significant breakthrough. Their instrument distinguishes itself from every other item on the market thanks to a technology focused on people’s needs.

An engine for machine vision is Maveryx’s key feature. It looks at the user interface throughout test execution and runtime to identify the items to test, even if those objects change between the time the test was written and when it is performed. The essential advantage is the ability to search for items within the Application Under Test (AUT) without specifying a search strategy. Maveryx does not require, Monitoring tools, GUI mapping, object/image archives, tracking systems, spy tools, or recordings. 

It’s like having an experienced, seasoned tester set up and conduct all the tests you need to run on your behalf. The more labor you do for yourself, the quicker you can release software. The NO-CODE functionality is another fundamental component. This functionality allows functional rather than tech users without programming experience to write tests.

So, if you are looking for an automated software testing tool that is powerful yet easy to use, you should check out Maveryx. Maveryx automated software testing tool will save you a lot of time and effort. So why wait? Try out Maveryx today!

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