UF Researchers Using AI To Improve Surgical Robotics

While not elbow-deep in the flesh, blood, rubber, and metal of surgical robotics, engineering researchers at the University of Florida are playing a key role in advancing safety and precision in robot-assisted surgery, or RAS.

Professor Christophe Bobda, Ph.D., and Ph.D. student Antonio Hendricks are analyzing vast datasets from robot-assisted procedures, processing them using artificial intelligence, and finding patterns and processes that can be improved.

“We’re analyzing vast sums of data recorded by the robotic surgical system, such as stereoscopic video and kinematic data, via machine learning,” Hendricks said. “These processes are used to conduct autonomous surgical skill assessments and provide insights into interactions with respect to tissue handling and the final product.

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