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MAGNETOM Sola; MAGNETOM Altea

Siemens Medical Solutions USA, Inc. • Radiology • 12/22/2023

510(k)IEC 62304 Class C
FDA Summary PDF

Device Purpose

The MAGNETOM Sola and Altea systems, updated with syngo MR XA61A software, aim to advance diagnostic magnetic resonance imaging by delivering superior image quality, novel clinical applications, and enhanced workflow efficiency. This enhancement is realized through upgraded hardware components and innovative software features, notably AI-powered 'Deep Resolve Boost' for accelerated and improved image reconstruction, specialized applications like 'myExam Implant Suite,' and 'Low SAR protocols,' all validated via comprehensive non-clinical testing and supported by scientific literature.

Summary

The MAGNETOM Sola and MAGNETOM Altea systems, equipped with the syngo MR XA61A software, are magnetic resonance diagnostic devices designed to generate a comprehensive range of images (including transverse, sagittal, coronal, oblique cross-sectional, and spectroscopic) and spectra. These outputs visualize the internal structures and functions of the head, body, or extremities, serving as a critical tool for physicians in diagnosis; the systems also support imaging during interventional procedures when used with MR-compatible equipment, and contrast agents may be employed depending on the region of interest. These updated systems feature new and modified hardware, such as upgraded host computers (syngo MR Acquisition Workplace and syngo MR Workplace) and, for the MAGNETOM Sola, a new MaRS (Measurement and Reconstruction System) computer, alongside an enhanced myExam 3D Camera. Significant software advancements include new applications like GRE_PC, Physio logging, myExam Implant Suite, AI-driven 'Deep Resolve Boost' for HASTE and EPI Diffusion, and 'Complex Averaging.' Modified features like the OpenRecon Framework and 'Low SAR Protocols' aim to improve reconstruction and reduce Specific Absorption Rate for certain examinations. Non-clinical testing, including software verification, image quality assessments using sample clinical images, and validation of AI features (trained on extensive datasets using metrics like PSNR and SSIM), confirmed the intended performance and safety profile, with further support from clinical publications for features like Deep Resolve Boost, GRE_PC, and Complex Averaging.

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.

Keywords

MAGNETOM Solasyngo MR XA61ADeep Resolve BoostMagnetic Resonance ImagingArtificial IntelligenceLow SAR ProtocolsmyExam Implant SuiteImage ReconstructionInterventional ImagingPhysio Logging

Device Metadata

Submission Number
K232535
Company
Siemens Medical Solutions USA, Inc.
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Assessment
AI Function
Generation
AI Subclass
image enhancement

Relevant Clinical Questions

  • Q1. How does 'Deep Resolve Boost' quantitatively improve specific image quality metrics (e.g., SNR, CNR, spatial resolution) across different anatomical regions compared to the previous syngo MR XA51A software?; What is the measurable impact of the 'Low SAR Protocols' on examination times and image quality for the specified knee, spine, heart, and brain scans, particularly in temperature-sensitive patients?; Can the 'myExam Implant Suite' automatically adjust scan parameters based on identified implant types, and what range of implants does it effectively manage for artifact reduction?; How do the hardware modifications to the host computers and the MaRS system (for MAGNETOM Sola) translate into tangible benefits in processing speed for complex sequences like EPI Diffusion with Deep Resolve Boost?; Beyond the listed publications, what evidence supports the clinical utility and diagnostic equivalence of images generated with 'Complex Averaging' and 'GRE_PC' compared to established sequences?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA 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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Cybersecurity Evidence

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.

Cyber Score10/100
SBOM Evidence⚠ Not in summary - likely in full submission per §524B
Cyber Risk Assessment⚠ Not in summary - likely in full submission per §524B
Postmarket Plan⚠ Not in summary - likely in full submission per §524B
§524B ApplicableYes

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials(dataset)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials
- Not detected
HBOMHardware Bill of Materials(hardware, camera)
✓ Detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

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, HBOM 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, SaaSBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

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MAGNETOM Sola; MAGNETOM Altea - Siemens Medical Solutions USA, Inc. | ESL FDA AI Device Intelligence