NemoScan
Software Nemotec S.L. • Radiology • 01/18/2024
Device Purpose
NemoScan is a comprehensive software system designed for dental professionals to perform pre-operative implant and surgical planning by processing and integrating various medical imaging data (DICOM, STL, PLY, OBJ) for 3D anatomical simulation and virtual treatment design. Its methodology involves advanced image segmentation, virtual implant placement, and the design of patient-specific surgical guides, which are then exported as STL files for either centralized or point-of-care manufacturing.
Summary
NemoScan is a software tool designed for dental professionals to facilitate implant and surgery planning. It processes imaging data from medical scanners like CBCT or CT (DICOM format) and can integrate optical scans of dental impressions (STL, PLY) and facial scans (OBJ, PLY). The software enables pre-operative simulation, allowing users to evaluate patient anatomy, plan dental implant placement, position surgical instruments, and explore various surgical treatment options for edentulous, partially edentulous, or dentition situations. Key functionalities include image segmentation (gums, teeth, bones, nerves, sinus), volume reorientation, 2D/3D measurements, virtual teeth extraction simulation, and the placement of virtual dental implants and prosthetic teeth, supporting desktop, cloud, and web-based configurations. The software allows for the design of various surgical guides, including tooth-supported, gingiva-supported, and bone-supported types, and can incorporate features like gingivectomy guides and custom labels. NemoScan exports these surgical guide designs in STL format, which can then be sent to a validated manufacturing center or manufactured at the point of care using a validated CAM process with biocompatible and sterilizable materials. It also generates PDF case reports for treatment planning and intra-operative reference. While the software provides extensive planning tools, including bone densitometry and real-time distance warnings to critical anatomical structures, the actual 3D manufacturing of guides and the clinical decisions remain the responsibility of the user. The system is intended for use with adolescent (12-21 years) and adult (>21 years) patients.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. What is the validated accuracy of the software's image registration when merging CBCT/CT data with optical scans (STL/PLY) and how does this impact surgical guide fit?; How does the software's bone densitometry algorithm correlate with actual bone quality, and what are its limitations in predicting primary implant stability?; What specific validation processes are recommended for point-of-care manufacturing of surgical guides using the exported STL files to ensure clinical efficacy and safety across different CAM systems and materials?; Are there comparative studies demonstrating the clinical outcomes (e.g., implant survival, accuracy of placement) when using guides designed with NemoScan versus those from its predicate device or traditional freehand placement?; How does the web application's performance and feature set compare to the desktop version, particularly concerning processing large DICOM datasets and real-time 3D rendering?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class C (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 ML-BOM, SaaSBOM, 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.
• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.
• Not detected in AI-generated device summary: SBOM, HBOM, CBOM, VDR/VEX. These may be present in the full FDA submission.
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