It will protect health care workers from contact with potentially contaminated.

Robot researchers from the University of southern Denmark has developed the world’s first fully automatic robot capable of taking swabs from the throat to diagnose Covid-19, writes

A prototype of the robot has successfully performed smears from the throat to a few people. Researchers from SDU Robotics claim that such a robot is required that health professionals are not at risk of infection.

Using a specially designed disposable tool for 3D printing the robot holds the ball and gets into the exact spot in the throat, which needs to be taken a sample. The robot then places the swab into the glass and fasten the lid to seal the sample.

“I was one of the first who tested the robot. Everything went very well. I’m still sitting here. I was surprised at how small the robot was able to place a tampon in the throat. I was afraid he was gonna hit with power, so it was a huge success,” admitted the Professor , Clusius Raj Savarimuthu of SDU Robotics.

Tisius Raj Savarimuthu leads a team of ten researchers who are working around the clock in the Laboratory “industry 4.0” at the University of southern Denmark, to develop a prototype to medical staff avoided the risk of infection when the analysis takes from the bottle.

“We have successfully demonstrated the world’s first fully automatic cotton swab and provided a proof of concept processes in robotized cotton tampon,” says Ranjit Clusius Savarimuthu.

According to the authors “there are prospects” to develop the robot to work with a smear from the throat to the equipment could take the work of plugging of the throat in relation Covid-19 and other diseases.

“Currently, medical workers are smears on the throat for Covid-19; but the working conditions can be a problem. The task entails long days of work drudgery. At the same time, staff needed in other spheres”, — said the scientists.

Additionally, in March, China has developed a system to identify patients with COVID-19 with the help of computer tomography on the basis of artificial intelligence technology.

The use of computer algorithms necessary in order to distinguish the new coronavirus from other kinds of pneumonia.

A new recognition system was created to better recognize COVID-19 and other types of viral pneumonia on the background of strict clinical requirements in the anti-epidemic struggle.

At the moment the system is under trial operation at the National supercomputer center in Tianjin, which is the developer of the first in China supercomputer Tianhe-1. According to the head of the research group of Xu Bo, the new system will help in the analysis of CT images in patients with COVID-19.