Tech and medical experts acknowledge, Artificial Intelligence holds the key to prevent exhorbitant spread of the pandemic virus and researchers from toronto based AI platform: BlueDot, had identified COVID19 on Dec 31, 2019 just after few hours that local officials in Wuhan, China, reported city's first diagnosis. However, it took the chinese government weeks to make an official announcement of such a pandemic virus outbreak, thus putting the whole world at stake.
The fast spread of COVID19 is threatening lives of millions in the world and inflicting a huge impact on businesses. A World Health Organisation report released last month, stated that Artificial Intelligence has the potential and possessed key response to the disease in China.
The increased use of Data processesing tools in machine learning and AI powered systems explores potential in containing the pandemic outbreak.
Fever Detection in Public Places
Real-time check ups of public health is made possible by thermal sensors often used at public places to monitor the vitals of human body. A temperature above the normal of 97.9 degree farenheit is often treated as possibly infected. Such an AI system developed infrared sensor by a chinese tech company: Baidu, applies combined approach of computer vision and infrared to detect the body temperature, making even a slight increase in temperature to be detected.
Deployment of Robots
Possible with enhanced machine learning, now robots are capable of performing complex tasks much easier than it would be for a human staff. Elevatated signs of COVID spread, would require holstering of common staffs in performing the risky tasks of disinfecting environments or places in contamination.
A startup named Promobot has advertised itself as a service robot and been deployed in Times Square with a simple module of task of screening locals with questions as, do they have a cough or not. Though such seems to be of no use, however, there are other examples of using robots and drones to disinfectant sprayings in Guangzhou.
Machine Learning in Predictions
With enhanced training, it is possible to make predictions more accurate. Predicting trends to effectiveness in containing the virus, helps in taking further steps of minimising regulations in sectors. Feeding medical data of each patients and vitals of every individuals, makes training more robust to analyse the probable trends.
