xvision Spine System

The xvision Spine System is an image-guided navigation device designed to enhance precision in various spinal procedures. It leverages augmented reality, advanced registration algorithms, and deep learning-based segmentation to integrate pre-operative CT with intra-operative X-ray images, providing real-time anatomical correlation and trajectory planning.

The xvision Spine System is an image-guided navigation system for spinal procedures, deemed substantially equivalent to previously marketed devices. It is engineered to precisely locate anatomical structures during both open and percutaneous spine surgeries, supporting a range of procedures including posterior pedicle and C3-C7 screw placement, iliosacral screw placement, and angular or lateral approaches to disc or sacro-iliac joints. The system employs augmented reality via a headset to display navigation data, correlating tracked instrument locations with patient imagery for virtual visualization and trajectory planning. Recent updates to the xvision Spine System include a new registration algorithm that facilitates the integration of pre-operative CT scans with intra-operative 2D X-ray images, alongside a novel deep learning-based spine segmentation algorithm. Despite these enhancements and expanded indications, the system retains its fundamental technological characteristics and operational principles, sharing similar hardware and software with its predicate. Comprehensive performance testing, including accuracy evaluations using phantom and cadaver studies, software verification and validation, and human factors usability testing, has confirmed the xvision Spine System's specified performance and intended function without introducing new safety or effectiveness concerns.

AI Regulatory Concerns

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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

• Q1. How does the new deep learning-based spine segmentation algorithm compare in accuracy and efficiency to previous segmentation methods, particularly in challenging anatomical cases?; What are the specific clinical scenarios or anatomical complexities where the use of pre-operative CT scans with intra-operative 2D X-ray images provides a significant advantage over traditional navigation methods?; Are there any long-term studies or post-market surveillance data available regarding the clinical outcomes and complication rates of procedures performed using the xvision Spine System, particularly with its expanded indications?; How does the system's augmented reality interface impact surgeon fatigue, cognitive load, and overall procedural time during complex spinal surgeries compared to traditional fluoroscopy-guided techniques?; What are the specific training requirements and learning curves associated with integrating the xvision Spine System into surgical practice for optimal safety and efficacy?