The SRT-H robot from Johns Hopkins University successfully removed a gallbladder with autonomous capabilities, achieving 100 percent accuracy. This procedure utilized AI to allow the robot to adapt to challenges autonomously, akin to a self-driving car's navigation. It marks a significant advancement in autonomous surgical technologies. The robot was trained on videos of real surgeries and performed on a hyper-realistic mannequin, not a live patient. The milestone indicates progress toward deploying such robots in real surgeries, reflecting a shift in reliability and autonomy in surgical robotics.
The surgical robot acted like a self-driving car that can "navigate any road, in any condition, responding intelligently to whatever it encounters," demonstrating its autonomy.
This work represents a major leap from prior efforts because it tackles some of the fundamental barriers to deploying autonomous surgical robots in the real world.
Our work shows that AI models can be made reliable enough for surgical autonomy—something that once felt far-off but is now demonstrably viable.
The robot, dubbed SRT-H, was trained on videos of surgeons performing similar gallbladder removal surgeries on dead pigs to achieve a 100 percent accuracy.
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