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AI-Driven Surgical Robot Performs Autonomous Gallbladder Removals With 100% Accuracy

Using imitation learning from 17 hours of annotated pig cadaver videos, SRT-H operates marker-free, adapting to varied anatomy in real time.

Overview

  • SRT-H achieved flawless ex vivo gallbladder removals on pig cadavers under eight different anatomical and simulated emergency conditions, as reported in Science Robotics.
  • The system mastered the 17-step procedure by studying 34 pig cadaver surgeries recorded over 17 hours and receiving targeted language-conditioned feedback.
  • Unlike its STAR predecessor, SRT-H requires no tissue markers or fixed surgical plans and self-corrects its actions without human intervention.
  • Researchers noted that the robot’s real-time adaptability allows it to identify critical structures, place clips and cut tissue while responding to unexpected variances.
  • The Johns Hopkins team is now applying the same imitation-learning framework to train SRT-H on additional procedures ahead of planned human clinical trials.