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AI Learns from Lung CT Scans to Diagnose COVID-19

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Read more at: https://www.the-scientist.com/news-opinion/ai-learns-from-lung-ct-scans-to-diagnose-covid-19-67625

Although the initial wave of the SARS-CoV-2 pandemic has abated in many countries, healthcare providers are still looking to identify as many COVID-19 patients as possible and contain the disease. Fast and accurate diagnosis is especially important when unsuspecting patients with a coronavirus infection come to the hospital with health complaints but don’t yet show symptoms of COVID-19. 

Nasal swab samples analyzed by RT-PCR are currently recommended for the diagnosis of COVID-19, however, supply shortages, a wait time of up to two days for results, and a false negative rate as high as 1 in 5 mean alternative, large-scale COVID-19 screening tools are still being sought.

SARS-CoV-2 is known to damage lung tissue, and in a distinct way that doctors are now seeking to exploit for new diagnostic approaches. Many COVID-19 patients develop pneumonia, which can progress to respiratory failure and sometimes death. COVID-19 pneumonia is different from more common forms of bacterial pneumonia, and the differences show up in chest CT scans. Most striking are cloudy lesion patterns that resemble shards of glass or reticular lines within the opaque lesions that look like irregular paving tiles, which occur around the peripheries of both lungs. Lesions from bacterial pneumonia are usually concentrated in one lung and may not resemble shards of glass. 

Read more at: https://www.the-scientist.com/news-opinion/ai-learns-from-lung-ct-scans-to-diagnose-covid-19-67625

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