Cleared Special

K211459 - syngo.via MI WorkFlows, Scenium, syngo MBF (FDA 510(k) Clearance)

Class II Radiology device cleared through the Special 510(k) pathway - typically does not require clinical trials.

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Jun 2021
Decision
30d
Days
Class 2
Risk

K211459 is an FDA 510(k) clearance for the syngo.via MI WorkFlows, Scenium, syngo MBF. Classified as Automated Radiological Image Processing Software within the QIH classification (a category dominated by AI-based automated radiology processing systems), Class II - Special Controls.

Submitted by Siemens Medical Solutions USA, Inc. (Knoxville, US). The FDA issued a Cleared decision on June 10, 2021 after a review of 30 days - a notably fast clearance cycle.

This device falls under the Radiology FDA review panel, regulated under 21 CFR 892.2050 - the FDA radiology and imaging software oversight framework. As a Special 510(k), this submission covers a manufacturer modification to an existing cleared device rather than a new device introduction.

Device pattern: Incremental AI imaging tool. Low regulatory complexity profile. Overall, this clearance reflects a predicate-aligned approval typical of modern AI radiology extensions - not a novel clinical breakthrough, but a validated iteration within an established regulatory category.

View all Siemens Medical Solutions USA, Inc. devices

Submission Details

510(k) Number K211459 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received May 11, 2021
Decision Date June 10, 2021
Days to Decision 30 days
Submission Type Special
Review Panel Radiology (RA)
Summary Summary PDF
Third-party Review No - reviewed directly by FDA
Combination Product No
PCCP Authorized No
Regulatory Context
Review time vs. panel average
77d faster than avg
Panel avg: 107d · This submission: 30d
Pathway characteristics
Modification to existing cleared device.

Device Classification

Product Code QIH Automated Radiological Image Processing Software
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 892.2050
Definition To Provide Automated Radiological Image Processing And Analysis Tools. Software Implementing Artificial Intelligence Including Nonadaptive Machine Learning Algorithms Trained With Clinical And/or Artificial Data. In These Devices, The Algorithm Training Data Typically Impacts Device Performance. Adaptive Ai Algorithms Are Not Within Scope Of This Product Code.
What this classification means

Class II devices require demonstration of substantial equivalence to a legally marketed predicate device. This pathway does not require clinical trials - it relies on engineering equivalence and performance data. Most Radiology devices follow this clearance model.

Regulatory Peers - QIH Automated Radiological Image Processing Software

All 285
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