Release date: 2016-07-13
At present, various types of medical robots are being applied to the reality, including robots for transporting drugs and patients, as well as robots for disease diagnosis and treatment, such as robot anesthesiologists and robots capable of simple surgical operations. They have alleviated the work of physicians and functional staff to a certain extent. However, the medical application of robots may be more than that.
According to foreign media reports, a research and development team at the MIT Computer Science and Artificial Intelligence Laboratory is working on a robot that can provide advice to medical staff to help them make decisions in complex situations. MIT professor Julie Shah said: "This project is to allow robots to learn workflows from others, to make robots better predict how to work, and even to help people make complexities while working with others. Decide."
In a two-year study, MIT researchers tested whether robots could effectively act as “resource nurses†and make complex decisions in a rapidly changing environment.
At the Beth Israel Deaconess Medical Center, each head nurse needs to coordinate 10 nurses, 20 patients and 20 wards at the same time. Assigning patients to each nurse, arranging beds for patients, and performing surgery are all complex processes. In the study, the Nao Robotics Society, developed by researchers at the MIT Computer Science and Artificial Intelligence Laboratory, distinguished the difference between good and bad decisions. The robot, called Ginger, was sent to the Beth Israel Deaconess Medical Center in Boston for skills. Detection, the robot's task is to be responsible for making decisions on important issues, including bed allocation and selecting the right nurse to perform caesarean section. In the end, Ginger successfully passed the test and learned to coordinate patient care in the hospital. It knows when and where it is necessary to transfer a patient to another type of room and be able to assign a nurse based on changing workload. It gives good advice and the medical staff largely agrees and is willing to adopt them. Studies have shown that nurses and doctors follow 90% of the robot's recommendations, highly demonstrating that the robot has learned to make quality decisions for specific situations. Gombolay said that "in view of the complexity of the delivery process itself, we can try to automate it."
The researchers pointed out that the test results will indicate that the robot may be effectively used to care for patients in the future. But the technology is still not mature enough, and there is still a lot of work to ensure that the robot system is smarter and safer. “If you continue to optimize your technology, this solution can quickly become popular in major hospitals and workplaces,†said Dana Kulic, associate professor of computer engineering at the University of Waterloo.
Julie Shah also mentioned that these preliminary results indicate that the project has great potential, it will promote many units to cooperate with us, and in the past those robots that can only work from simple will be replaced.
Source: Lei Feng Net
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