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Syngo Dynamics (Version VA40F)

Siemens Medical Solutions USA, Inc. • Radiology • 11/14/2022

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

syngo Dynamics (Version VA40F) is a comprehensive medical image management and processing software system intended for cardiovascular image review, quantification, and reporting across multiple modalities, operating on a client-server architecture. This version introduces 'Auto EF', an AI/ML-driven science for semi-automated left ventricular ejection fraction calculation from ultrasound images, which was validated through performance testing using clinical data against expert manual measurements to support enhanced cardiac assessment.

Summary

syngo Dynamics (Version VA40F) is a software-only medical image management and processing system (MIMPS) designed for trained healthcare professionals to review, edit, manipulate image data, and generate quantitative data, qualitative data, and diagnostic reports. It supports various imaging modalities, primarily focusing on cardiac applications like echocardiography, angiography, CT, and MR for adult and pediatric medicine, as well as vascular ultrasound and Ob/Gyn ultrasound (fetal echocardiography). The system operates on a client-server architecture, deployable as a standalone device, an integrated module within EHR systems, or a Multi-Modality Cardiovascular (MMCV) setup. It provides tools for image viewing, reporting, and processing, with multiple access strategies including a Workplace, Remote Workplace, and a browser-based WebViewer, now supplemented with a 'Portal' access option. A significant update in Version VA40F is the 'Auto EF' feature, an AI/ML-based algorithm for optional semi-automated calculation of left ventricular ejection fraction (LVEF) from ultrasound images, complementing existing manual methods. This user-controlled tool, with manual override capabilities, was validated using clinical data from 150 diverse cases, comparing its output to a ground truth established by experienced sonographers using the Modified Simpson's Rule. The Auto EF achieved a Pearson’s correlation coefficient of 0.827 (P<0.0001) against the ground truth, meeting predefined acceptance criteria. The system continues to offer various image processing algorithms, quantitative tools, and supports DICOM and HL7 communication protocols, with an emphasis on cybersecurity and adherence to recognized industry standards.

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

syngo DynamicsMedical Image ManagementImage Processing SoftwareCardiology ImagingEchocardiographyLeft Ventricular Ejection FractionAuto EFAI/ML in ImagingDICOMQuantitative Image Analysis

Device Metadata

Submission Number
K222428
Company
Siemens Medical Solutions USA, Inc.
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. How does the performance of the Auto EF algorithm compare when processing ultrasound images with significant artifacts or from patient populations with rare cardiac pathologies not extensively represented in the validation dataset?; What is the impact of the new 'Portal' access strategy on data security and user authentication, particularly when accessed via mobile devices, and what are the specific limitations in functionality compared to the full Workplace client?; Can the semi-automated Auto EF tool be customized or fine-tuned by institutions based on their specific patient populations or imaging protocols, and what mechanisms are in place for ongoing performance monitoring of the AI/ML algorithm post-deployment?; How does syngo Dynamics VA40F handle integration with various Electronic Health Record (EHR) systems and Vendor Neutral Archives (VNAs), particularly concerning data consistency and synchronization of reports generated using the new features?; What are the computational requirements and processing times for the Auto EF feature on typical clinical workstations, and how does this impact the workflow efficiency for high-volume echocardiography labs?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement

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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 Score50/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment✓ Detected in Summary
Postmarket Plan✓ Detected in Summary
§524B ApplicableNo

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(algorithm, dataset, ground truth)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials(server, remote)
✓ Detected
HBOMHardware Bill of Materials
- Not detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials(deployment)
✓ 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, SaaSBOM, OBOM detected in AI-generated device summary.

• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.

• 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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Syngo Dynamics (Version VA40F) - Siemens Medical Solutions USA, Inc. | ESL FDA AI Device Intelligence