A surgical robot, trained by observing surgical videos, has autonomously completed a complex gallbladder removal procedure.
The robot, named SRT-H, demonstrated precision and adaptability, mirroring the skills of an experienced human surgeon. This achievement, led by Johns Hopkins University, marks a significant step toward fully autonomous surgical systems.
The SRT-H system utilized a hierarchical framework and imitation learning to execute the cholecystectomy procedure with a 100% success rate. It adapted to anatomical variations and made autonomous decisions, showcasing the potential of AI in surgery.
This research, supported by ARPA-H, suggests a future where surgical robots could reduce human error and improve patient outcomes. However, human oversight remains crucial to address unforeseen complications.