Mount Sinai Utilizing Neurosurgical Machine-Vision and Flash Navigation скачать в хорошем качестве

Mount Sinai Utilizing Neurosurgical Machine-Vision and Flash Navigation

Spine neurosurgeon, Jeremy M. Steinberger, MD of Mount Sinai Health System demonstrates advanced technology that improves outcomes in complex spine, back, neck, and brain surgeries. During spine surgery, using navigation and robotics to accurately place screws can add significant time. The technology is slow, bulky, and exposes the patient to extensive, potentially harmful radiation. Screws can be placed without surgical navigation, but often with suboptimal accuracy. Mount Sinai is the first to adopt several "machine-vision" systems and deploy them across multiple hospitals within a health system. "Machine-vision" improves surgical accuracy for brain and spine surgery in real-time. It's fast, accurate, and radiation-free. The surgeon positions and "flashes" two small cameras that match up to the patient's pre-operative imaging in seconds. The 2D light pattern is instantly digitized with nearly 1,000,000 visual data points to create a 3D map. With this 3D map, the surgeon navigates optimal instrumentation, then aligns and adjusts to perfection. Machine-vision creates an augmented reality for surgeons to verify anatomical landmarks for accuracy and navigate a precise surgical trajectory. But what does this really do for the patient? Even the most skilled surgeons benefit from the enhanced accuracy, anatomical verification, and precision of surgical alignment - including the most challenging complex spine deformity cases.