Researchers at Johns Hopkins University have developed an AI-trained surgical robot, known as SRT-H, that has autonomously performed gallbladder removal surgeries on lifelike pig organ models with 100% accuracy. The robot was trained using videos of human surgeries and demonstrated the ability to identify arteries, clip ducts, cut tissue, and adapt in real-time to changing visual conditions during the procedures. It also responded to voice commands from the surgical team, mimicking the interaction style of human surgeons. This achievement marks the first instance of a robot completing a realistic, complex surgical task without human intervention, moving the field closer to surgical autonomy, particularly for routine operations like gallbladder removals which are performed hundreds of thousands of times annually. The system combines generative AI and machine learning algorithms to execute precise 3D tool movements and decision-making during surgery. While this represents a major advancement in robotic surgery, regulatory and clinical challenges remain before such technology can be applied in human trials. The development has been described as a major leap forward in medical robotics and is expected to pave the way for autonomous surgical procedures in the near future.