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Organizations at the federal, community, and commercial levels are leveraging artificial intelligence to control the spread of COVID-19, but is the technology ready?

March 18, 2020 - Before the world was even conscious of the threat posed by COVID-19, artificial intelligence had detected the beginnings of the outbreak.

On December 30, 2019, researchers from BlueDot, a company that uses AI to track and anticipate infectious diseases, spotted a report about a pneumonia of unknown aetiology in China.

Nearly a week later, on January 5, 2020, the World Health Organization (WHO) issued a request for more information from Chinese public health authorities. At the time, there had been 44 cases reported, with eleven patients in critical condition.

In the worldwide crisis that has since ensued, leaders from all sectors of the healthcare industry have turned to novel technologies to help monitor and control the spread of COVID-19 – the same technologies that were able to detect the initial outbreak.

Entities have leveraged artificial intelligence platforms, analytics algorithms, and data visualization tools to try to get ahead of the virus, or at least keep up with it. These technologies have the potential to anticipate where the disease will go next, as well as identify drugs that may be effective against COVID-19.

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Originally posted by:

Jessica Kent

www.healthitanalytics.com

March 18th, 2020