Robotron Technologies

One of the key components of fully autonomous surgery, is the ability to recognize anatomy in real-time from live camera feeds. At Robotron Technologies, we are building fully autonomous #neuroanatomy recognition software from #endoscopic camera feeds. Here is our version 1.10

We are building the most advanced spine segmentation software to enhance our robotic spine navigation and predictive analytics capabilities. V1.0 is very robust with more to come soon. #machinelearning, #spine, #surgery, #AI, #robotics

Robotron Technologies is advancing the future of spine surgery: We're excited to share a sneak peek of our endoscopic spine surgery robotics platform, designed to revolutionize the treatment of low back pain and #radiculopathy. Our 3mm x 6mm end effector is equipped with a #camera, #laser fiber, suction/irrigation, multiple #sensors and is part of a larger #AI-enabled platform. This innovative technology aims to provide a minimally invasive solution for patients suffering from ligamentum flavum overgrowth and spinal stenosis. But that's not all - our platform is designed to be modular and adaptable. We're already working on a 3mm x 3mm prototype, and exploring applications in disc space preparation for spine fusion. Stay tuned for updates on our progress, and join us in shaping the future of spine surgery. #spinesurgery #robotics #endoscopicsurgery #minimallyinvasive #neurosurgery #artificialintelligence #machinelearning #surgery #stenosis

We have started testing our spinal endoscopy #robotic end effector. We have blurred it out of this picture but will be showing it soon! Our initial goal for the end effector is to enable endoscopic spinal decompression and disc space preparation. #robotic #surgery #neurosurgery #spine #endoscopy

Early testing of our robot-assisted endoscopic system within a 3D printed model, created from a lumbar spine CT scan, demonstrates significant potential advantages in performance, precision, and dexterity. (Keep in mind this prototype is 3mm height X 6mm width). More to come.... #spinesurgery #robotics #neurosurgery #automation #machinelearning

A spine robot for epiduroscopy surgery. Meet 𝗕𝗜𝗦𝗛𝗘𝗣, the Robotron Technologies robotic-assisted platform for endoscopic spinal decompression, designed to be a tissue-preserving alternative to spinal laminectomy (300,000 cases a year in the US). 𝗘𝗽𝗶𝗱𝘂𝗿𝗼𝘀𝗰𝗼𝗽𝘆 involves the placement of a small flexible steerable endoscope through the sacral hiatus into the epidural space. This minimally invasive technique using a camera and laser fibers avoids open surgery and allows direct access of the disc fragment. There are though multiple limitations making the adoption rate of this approach very low: it's technically challenging with a steep learning curve, there is limited control of the endoscope and instruments, the result is dependent on surgeon dexterity, it's difficult to understand where you are in relationship with the anatomy, etc. Robotron has designed a robotic and semi-autonomous platform to facilitate this approach. BISHEP is a small device with 𝘁𝘄𝗼 𝗽𝗼𝗿𝘁𝗮𝗹𝘀 integrating camera, light, laser & irrigation, suction, and instruments. The tip of the system embeds an electromagnetic tracking sensor for navigation. With this system, the surgeon gets to 𝘀𝗶𝘁 𝗼𝗻 𝗮 𝗰𝗼𝗻𝘀𝗼𝗹𝗲 away from the operative field, which should lead to improved ergonomics and reduced radiation exposure. The robot is controlled with a 6 degree-of-freedom joystick. The system can stabilize the movement of the robot, make it rigid when needed, prevent it from rapidly moving towards a neural structure, and allows for debris removal. The team also developed a first generation of 𝗮𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 algorithms that leverage the high resolution camera and the powerful light source to provide tissue labeling and recognition - labeling for instance the nerve, disc, ligamentum, bone and fat tissue. Robotron has built a team of medical professionals that label the relevent anatomy in endoscopy images to train the algorithm so that it can recognize live video streams. This multi-class tissue segmentation feature could flatten the learning curve and reduce the stress factor for the operator. The 10+ people team is led by Kris Siemionow, CEO, and Cristian Luciano, CTO, who previously founded HoloSurgical, an augmented reality & AI spine surgery startup that was acquired in 2020. The company plans to do the first cadaver lab later this year and be CE mark ready by the end of 2025. #medtech #roboticsurgery #spinesurgery

Take a look at the precision and care that goes into the micro CNC manufacturing of our endoscopic #robot components. This clip showcases our custom-built CNC machine hard at work, a testament to our commitment to innovation and quality. #endoscopy, #neurosurgery, #spinesurgery, #orthopedics, #robotics

We are excited to share the performance of our latest #AI software release. Demonstrating real-time autonomous anatomical recognition (patent pending), this system is specifically designed to operate seamlessly with live feeds from spinal endoscopy cameras. #machinelearning, #spinesurgery, #neurosurgery, #endoscopy, #robotics, #orthopedics, #autonomous

Our team will be attending #ISASS 24 April 26-28 in Miami. Please reach out to any of us if you would like to talk about our #spine #endoscopy #robotic assisted platform.