Autonomous Robotic Surgery

Autonomous robotic surgery aims to develop robotic systems capable of performing surgical procedures with minimal or no human intervention, improving surgical precision, consistency, and access. Current research heavily focuses on integrating advanced AI models, such as vision-language-action models, deep reinforcement learning, and large language models, to enable robots to perceive the surgical environment, plan actions, and execute complex tasks like suturing, tissue manipulation, and hemostasis. This field holds significant promise for enhancing surgical outcomes, particularly in minimally invasive procedures and microsurgeries, while also addressing the challenges of surgical skill variability and access to specialized care.