With the advancement of materials science and the integration of artificial intelligence technology, surgical robots are evolving from rudimentary tools to highly intelligent precision devices. The use of medical robots is now common worldwide.
At present, mainstream Da Vinci surgical robots are capable of performing delicate operations under the control of doctors, while the latest research is moving towards higher levels of automation. According to Frost & Sullivan data, the global surgical robot market has grown from $3 billion in 2015 to $8.3 billion in 2020, with a compound annual growth rate of 22.6%. The global surgical robot market is expected to continue to grow rapidly, reaching $33.6 billion by 2026.
Currently, researchers are working on enabling robots to have self-learning capabilities, in order to simulate and optimize real surgical processes in a virtual environment.
“We are exploring a new training model,” explained Qi Peng. “The technological advancements are twofold: the development of digital twin technology in virtual reality, and the computation power support for robot learning. By accelerating training in a virtual environment, similar to ‘a day in the sky, a year on earth,’ we can greatly improve the learning efficiency of robots.”
We have reason to believe that in the future, these robots will become doctors’ best assistants.
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