A surgical robot succeeded in carrying out a long part of a bitterness eradication without any human intervention, and for the first time the robot began a process on a patient -like patient, and he interacted with the audio instructions directed by the medical team, just as a trainee learning from an expert surgeon, according to the website (Health Car in Europ).
During the experiment, the robot called “STR-H” showed a steady performance and skill similar to the skill of professional surgeons, even when facing sudden cases that are similar to what is happening in real emergency situations.
This project led by Johns Hopkins University with funding from the US government is a great development in the field of surgical robots, as robots can now combine the accuracy of the machine and the simulation of human understanding, and Axel Krier, an expert of medical robotics: “This progress transports us from robots that carry out specific surgical missions, to robots that actually understand surgical procedures.” This difference is very important and brings us a lot closer to self -reliable surgical systems in realistic and unexpected conditions, such as those that occur in real operating rooms with patients.
In 2022, Crriphr’s Star robot performed the first independent surgery on a live animal, and it was a theoretical pork surgery, but at that time the robot needed distinctive tissue with special signs and a highly organized environment and a strict surgical plan, and Creeri said at that time, that it was like teaching the driving robot on a accurate dreamer road, but today after the progress of artificial intelligence and robots industry “Robot teaching surgery has become more like his teaching driving in any way, and under any circumstance, with the ability to respond intelligently for everything he faces,” says Kreger.
The new STR -H -H -H -H -HS is able to perform surgical operations immediately with the shape of each patient and make decisions in the actual time, and even correct its mistakes if something happens unexpected.
It is noteworthy that the “STR -H” robot is built using the same automatic learning techniques used in “Chat GBT”, which makes it interactive and able to respond to vocal orders such as “Hold the head of bitterness” or “move the left arm slightly to the left”, and in this way the robot will learn from these directives.
“This work represents a great leap, because it addresses one of the largest obstacles that were facing the use of self -surgical robots in the real world,” said the lead author, G -Wong, “This work represents a great leap, because it addresses one of the largest obstacles that were facing the use of self -surgical robots in the real world.” Possible. “
Last year, the Kriger robot team trained to perform 3 basic surgical missions, namely dealing with the needle, lifting tissues and sewing, and it took only a few seconds to carry out.
How did the robot perform the gallbladder eradication?
The gallbladder eradication is one of the complex procedures, as it consists of a series of 17 very accurate steps, and each step takes several minutes, and during the process the robot had to determine the arteries and distinguish the gallbladder and hold them accurately, then put clamps in specific places, and cut the tissues with the scissors.
Surgi “STR -H” has learned to perform this task by watching surgeons at Johns Hopkins University while they were conducting the operation on windy pigs, with the addition of text explanations showing the steps of each stage, and after watching the videos enables the robot to carry out the operation 100%.
Although the robot took longer than the human surgeon, the results were similar to what a professional surgeon might achieve, and the surgeon Jeff Jolling from Johns Hopkins commented: “Surgery students gradually learn every part of the operation, this project shows that surgical robots can develop in the same way-step step.”
The robot managed to perform the operation successfully even when he faced unexpected conditions, such as the difference in the shape or size of the tissues from one case to another or change the starting site – which is the site from which the process begins – as the researchers added a blood -like tincture to change the shape of the gallbladder and the surrounding tissues, yet the robot continued to work precisely and efficiently without any errors.
Professor Creger commented: “For me, this experience shows that it is possible to independently complex surgeries, this is the best evidence that robots are able to learn to watch video (learning with simulation), and so you can automate any complex procedure with high reliability and reliability.”
The next step for the research team is to train this system on other types of surgeries, and to develop its capabilities so that it can perform a full self -operation without human intervention.