March 14, 2020
Alibaba is leading the war against the Coronavirus outbreak! Earlier, nucleic acid testing was considered as the standard reference for diagnosing the Coronavirus as evidence of pathogenicity. But, since the Chinese National Health Commission has widened the criteria for the diagnosis, CT scan became the top method to ensure patients receiving standard treatment as soon as possible.
Researchers at Damo Academy told the media that the new AI tool is designed to distinguish between infected Coronavirus patients and the ones suffering from ordinary viral pneumonia with up to 96% accuracy by only analyzing at a patient’s CT scan — in essence, the two have similar symptoms. Usually a human doctor, by comparison, takes up to 5 to 15 minutes to analyze a CT scan of a suspected patient, which includes more than 300 images. However, the new algorithm can complete the detection process within 20 seconds, which in turn will ease up the pressure on hospitals.
According to reports, NLP natural language processing along with CNN convolutional neural networks are used to train the CT image recognition networks, which helps the system to identify the difference between Covid-19 images and ordinary viral pneumonia images. Besides, the system can also directly calculate the areas that are infected, thereby quantifying the severity of the cases to improve the efficiency of clinical diagnosis significantly.
What do you think are the possibilities of using AI for healthcare? Let us know in the comments section right below!
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