AI can detect Covid-19 in lungs like virtual physician: Stud
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The study, recently published in Nature Communications, shows that artificial intelligence can be nearly as accurate as a physician in diagnosing COVID-19 in the lungs.

CT scans offer a deeper insight into COVID-19 diagnosis and progression as compared to RT-PCR, tests. However, CT is not always recommended because the disease often looks similar to influenza-associated pneumonias on the scans.

The new UCF co-developed algorithm can overcome this problem by accurately identifying COVID-19 cases, as well as distinguishing them from influenza.

Researchers trained a computer algorithm to recognize COVID-19 in lung CT scans of 1,280 multinational patients from China, Japan and Italy.

Then they tested the algorithm on CT scans of 1,337 patients with lung diseases ranging from COVID-19 to cancer and non-COVID pneumonia.

When they compared the computer's diagnoses with ones confirmed by physicians, they found that the algorithm was extremely proficient in accurately diagnosing COVID-19 pneumonia in the lungs and distinguishing it from other diseases, especially when examining CT scans in the early stages of disease progression.

Researchers demonstrated that an AI algorithm could be trained to classify COVID-19 pneumonia in computed tomography (CT) scans with up to 90% accuracy, as well as correctly identify positive cases 84% of the time and negative cases 93 of the time.

Source: https://www.ucf.edu/news/ai-can-detect-covid-19-in-the-lungs-like-a-virtual-physician-new-study-shows/
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