Spinal surgery is an important application of orthopedic surgical robots. In the past, with the assistance of human hands or a large number of X-ray photos taken during surgery, surgeons placed screws in the spine bone for complex spinal surgery, which exposed patients and doctors to a large amount of radiation. In addition, once the screws are placed incorrectly or not in the ideal position, the consequences are serious. In spinal RAS, robots provide a guidance system based on computerized preoperative planning, which can improve accuracy and reduce the risk of misplaced screws.
Real time image display: The surgical navigation robot can obtain real-time images of the surgical site through high-definition cameras or other sensors, and display them on the screen, allowing doctors to clearly observe the surgical area.
-Anatomic structure recognition: Through advanced image processing algorithms, surgical navigation robots can automatically recognize and label anatomical structures, such as blood vessels, nerves, spine, etc., to help doctors better understand the surgical area.
-Positioning and navigation: Based on accurate image recognition and sensor data, surgical navigation robots can locate the positions of surgical instruments and doctors' hands in real-time, and provide accurate navigation guidance to help doctors perform accurate surgical operations.
-Surgical path planning: The surgical navigation robot can calculate the optimal surgical path through algorithms based on the doctor's input and target surgical area, and provide prompts and suggestions to the doctor to improve surgical effectiveness and safety.
-Data recording and analysis: The surgical navigation robot can record key data during the surgical process and save it in a database for doctors to analyze a