Alibaba AI System Can Detect Coronavirus at 96% Accuracy in 20 seconds


The Covid 19 outbreak continues to spread globally and companies around the world are trying to find a solution to the rapidly spreading virus. A new system based on AI technology developed by Chinese technology giant Alibaba can detect the outbreak of coronavirus.

Technology giants like Amazon, Microsoft, a video game company, and a nationwide healthcare network collaborated together to find a solution from the company's world-class AI department. The technology makes it possible to identify infected patients faster, which speeds up the process of coronavirus treatment.


According to the Nikkei’s Asian Review, Alibaba's new system can detect Covid -19 from CT scans of patients’ chest with an accuracy of 96% for viral pneumonia cases and the AI system only takes decisions in just 20 seconds. Human doctors would require 15 minutes to analyze the images of patients which can well over be 300+, left for diagnosis. The researchers trained the system with a technique using image samples from 5000 confirmed corona cases and is being widely tested in hospitals across China. The report stated, at least 100 medical institutions have adopted Alibaba's AI technology. Although, this is not the only technology capable of detecting coronavirus.


Ping An, the Rival healthcare organization of Alibaba has also launched an AI system capable of detecting the coronavirus. Geoff Kau, Co-President and Chief Strategy Officer said: "Since its launch, the smart image-reading system has provided services to more than 1,500 medical institutions. More than 5,000 patients have received smart image-reading services for free. The system can generate smart analysis results in around 15 seconds, with an accuracy rate above 90%."

John Hopkins CSSE Map

The spread of the Coronavirus has lead experts to invent useful and intelligent tools to track and detect the spread of infection for providing better diagnoses. John Hopkins CSSE Map designed by researchers at John Hopkins University pulls data from the World Health Organization (WHO) website. The website shows real-time data with geographic information systems in maps to maps and up to date information.

The map tracks the total confirmed cases, the number of deaths, and total recovered cases.  Each point highlighted in red represents the location of the virus and if you click you can view data that includes the name of the city, number of confirmed cases, number of deaths and number of recovered cases. These solutions are sure to play a vital role in increasing the speed and accuracy of coronavirus diagnosis.

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