See what surgery becomes next.

Look at every surgical robot the FDA has cleared. A pattern jumps out. Almost all of them sit at the lowest rung of autonomy. They do exactly what the surgeon tells them, moment to moment. A small number can execute a preplanned task on their own. Fewer still can adjust that plan in real time. None, so far, can plan and carry out a full sequence of surgical steps without a human in the loop. That gap between what robots can execute and what surgeons must still decide isn't a

"Autonomous surgery" has become one of the most talked-about terms in surgical innovation. It is also one of the most misunderstood. The same phrase is used to describe a robot that filters hand tremor, software that highlights anatomy, and research systems that can complete parts of a procedure. Those technologies are very different. Understanding autonomous surgery starts with understanding what a system actually does during an operation. Start with the autonomy ladder The

Every breakthrough in surgical AI seems to focus on one technology. Computer vision. Haptic feedback. Telesurgery. Robotic arms. Each is important. None works alone. Autonomous surgery is built like a technology stack. Each layer depends on the one beneath it. Understanding this stack makes it much easier to understand where real progress is happening. Layer 1. Perception Before a robot can act, it has to see. Computer vision allows surgical AI to recognize anatomy, track ins