Chinese Hospitals Deploy AI to Help Diagnose Covid-19

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Chinese Hospitals Deploy AI to Help Diagnose Covid-19
Software that reads CT lung scans had been used primarily to detect cancer.
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Zhongnan Hospital of Wuhan University in Wuhan, China, is at the heart of the outbreak of Covid-19, the disease caused by the new coronavirus SARS-CoV-2 that has shut down cities in China, as well as Iran, Italy, and South Korea.
One experiment is underway in Zhongnan’s radiology department, where staff are using artificial intelligence software to detect visual signs of the pneumonia associated with Covid-19 on images from lung CT scans.
Haibo Xu, professor and chair of radiology at Zhongnan Hospital, says the software helps overworked staff screen patients and prioritize those most likely to have Covid-19 for further examination and testing.
Detecting pneumonia on a scan doesn’t alone confirm a person has the disease, but Xu says doing so helps staff diagnose, isolate, and treat patients more quickly.
The software in use at Zhongnan was created by Beijing startup Infervision, which says its Covid-19 tool has been deployed at 34 hospitals in China and used to review more than 32,000 cases.
In mid-January, not long after the US Centers for Disease Control advised against travel to Wuhan due to the new disease, hospitals in Hubei Province began employing a previously little used feature of Infervision’s software that looks for evidence of pneumonia, according to CEO Kuan Chen.
The version of the software in use today was trained with more than 2,000 images from Covid-19 patients, Chen says.
A paper reviewing Covid-19 lung scans published last week by Hyungjin Kim, at Seoul National University Hospital in South Korea, concluded that AI software might lessen the burden on hospitals dealing with outbreaks by helping radiologists identify patients with the disease earlier.
Xu says it has been an issue at Zhongnan Hospital, but that may not be the case in every hospital experiencing a rush of Covid-19 patients

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