How a 19th-Century Breakthrough Could Revolutionize COVID-19 Diagnosis

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How a 19th-Century Breakthrough Could Revolutionize COVID-19 Diagnosis
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It sounds simple, but to treat someone you suspect has COVID, you need to confirm they are actually infected with the coronavirus.

using radiography for diagnosing COVID when PCR testing isn't available, especially for severe patients.

The program is based on something called a deep convolutional neural network, a type of algorithm typically used to analyze images. Such algorithms can pick out the key features of images and classify those that have similarities and differences. We then evaluated this top performer by giving it a completely new set of X-rays that it hadn't seen before, and asked it to determine whether each came from a COVID patient or not. The program got the answer right 98.04 percent of the time.Following these results, we developed an app that could run the program outside of our lab, so that it could be used in places where it could make a difference.

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