xvision Spine system
Augmedics Ltd. • Neurology • 03/13/2025
Device Purpose
The xvision Spine System is an augmented reality surgical navigation device designed to enhance the precision of anatomical localization during open or percutaneous spinal procedures. It achieves this by employing 2D stereotaxic screens and virtual anatomy on a headset, correlating real-time tracked instrument positions with patient imagery to guide surgeons.
Summary
The xvision Spine System by Augmedics Ltd. is an augmented reality-based device designed to precisely locate anatomical structures during various open or percutaneous spine procedures. It achieves this by displaying 2D stereotaxic screens and virtual anatomy on a headset, which correlates tracked instrument locations with patient imagery, supporting applications such as posterior pedicle screw placement in thoracic/sacro-lumbar regions, C3-C7 vertebrae, iliosacral screw placement, and angular or lateral trajectories. Recent modifications to the system involved minor software and hardware updates, primarily aimed at enhancing the 2D-3D registration process, improving component reliability, and introducing new kit packaging configurations, including changes to the C-ARM Ring adaptor and patient marker extender. Performance testing confirmed that these modifications do not alter the fundamental technology, safety, or effectiveness of the device, with the updated system maintaining its established accuracy and compliance with existing standards.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the 2D-3D registration enhancement specifically improve surgical accuracy and efficiency compared to the previous version?; What are the specific clinical outcomes or patient benefits observed from using the xvision Spine System in real-world surgical settings?; Are there any contraindications or specific patient anatomies where the xvision Spine System's accuracy might be compromised?; How does the cost-effectiveness of integrating this augmented reality system compare to traditional spinal navigation techniques?; What are the long-term data on device reliability, maintenance requirements, and surgeon learning curves for the updated system?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Post-§524B but no clear network capability detected
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Powered by SBOMator™Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.
Supply Chain BOM Evidence
Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.
Analysis:
• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.
• Evidence of HBOM, OBOM detected in AI-generated device summary.
• SBOM not mentioned in AI-generated device summary. Under §524B (effective Oct 2023), cyber devices must provide a SBOM.
• Cybersecurity risk assessment not referenced in AI-generated device summary. FDA cybersecurity guidance (2023) expects this for cyber devices.
• Not detected in AI-generated device summary: SBOM, ML-BOM, SaaSBOM, CBOM, VDR/VEX. These may be present in the full FDA submission.
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