RIF Robotics Builds AI System to Organize Surgical Equipment
RIF Robotics develops an AI-driven robotic arm that identifies, classifies, and organizes surgical tools to save hospitals time and money. The startup aims to relieve healthcare workers of tedious sterile processing tasks so they can focus on patient care.
RIF Robotics introduces a robotic system that uses artificial intelligence to identify, classify, and organize surgical instruments. The startup creates a prototype that utilizes an image segmentation system and an object classifier to help a robotic manipulator arm grasp and move four different tools to assemble surgical trays.
The company targets the challenging sterile processing industry, where technicians spend hours inspecting and cleaning medical equipment that sometimes requires over 100 steps to disinfect. By automating the organization of these tools, RIF Robotics helps hospitals avoid costly operating room delays that studies estimate can reach tens of thousands of dollars annually.
Co-founded by Kevin DeMarco after a conversation with his operating room nurse aunt, RIF Robotics aims to solve major industry challenges like a lack of experienced technicians and poor instrument-level tracking. This automated data collection benefits both hospitals, which operate more efficiently, and medical device manufacturers, who gain valuable insights into how their equipment degrades in the field.