"It's really magical to have this model and all we do is feed it camera input and it can predict the robotic movements needed for surgery," said senior author Axel Krieger.
"We believe this marks a significant step forward toward a new frontier in medical robotics." This is the sentiment coming out of Johns Hopkins University as they showcase their remarkable advancement.
The researchers fed their model hundreds of videos recorded from wrist cameras placed on the arms of da Vinci robots during surgical procedures.
The successful use of imitation learning to train surgical robots eliminates the need to program robots with each individual move required during a medical procedure.
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