Artificial Intelligence Can Turn Out To Be Pandemic Lifesaver
Using the intelligence system, the researchers detected in Wuhan, China the spread of an unusual flu-like illness on December 30th. It would be prior to the days before the World Health Organization discharged a hazard evaluation and an entire month before the UN office proclaimed a worldwide public health emergency for the novel coronavirus.
Clark Freifeld, a computer scientist working with the global disease surveillance platform HealthMap said that they detected the early signals, but the reality is it is difficult to say when you have an unidentified respiratory illness if the situation is really serious.
A real-time risk detection technology firm, Dataminr said that it communicated the earliest warning of Covid-19 on December 30th based on eyewitness accounts from the hospitals in Wuhan, images of the disinfection occurring in the Wuhan Seafood market wherein the virus first originated and also a warning from a Chinese doctor who died later due to Coronavirus.
AI frameworks have demonstrated to be significant in following epidemic by scouring various exhibits of sources extending from airline bookings, Weibo and Twitter messages to news reports and sensors on associated gadgets.
Freifeld said that AI system has its own limits and thereby big decisions has to be taken by humans itself. Machine learning and AI systems may be used to battle the virus in numerous ways which include tracking the outbreak to increasing the pace of drug delivery. Khan, who is also a professor of medicine and public health at the University of Toronto said that AI was aiding the containment phase with systems that utilized “anonymized” smartphone location information to track the disease’s progression and detect hot spots and also to find out whether people are following the guideline of social distancing.
AI is also being used to scour the thousands of research for finding clues on what treatment would be effective.