Cleared Special

K230977 - SIS System (FDA 510(k) Clearance)

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

K230977 · Surgical Information Sciences, Inc. · Radiology device
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May 2023
Decision
27d
Days
Class 2
Risk

K230977 is an FDA 510(k) clearance for the SIS System. 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 Surgical Information Sciences, Inc. (Edina, US). The FDA issued a Cleared decision on May 2, 2023 after a review of 27 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 Surgical Information Sciences, Inc. devices

Submission Details

510(k) Number K230977 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received April 05, 2023
Decision Date May 02, 2023
Days to Decision 27 days
Submission Type Special
Review Panel Radiology (RA)
Summary Summary PDF
Third-party Review No - reviewed directly by FDA
Regulatory Context
Review time vs. panel average
80d faster than avg
Panel avg: 107d · This submission: 27d
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.

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All 285
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