Cleared Special

Ceevra Reveal 3+ (K233568) - FDA 510(k) Clearance

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

K233568 · Ceevra, Inc. · Radiology device
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Dec 2023
Decision
29d
Days
Class 2
Risk

K233568 is an FDA 510(k) clearance for the Ceevra Reveal 3+. 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 Ceevra, Inc. (San Francisco, US). The FDA issued a Cleared decision on December 5, 2023 after a review of 29 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 Ceevra, Inc. devices

Submission Details

510(k) Number K233568 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received November 06, 2023
Decision Date December 05, 2023
Days to Decision 29 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
78d faster than avg
Panel avg: 107d · This submission: 29d
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 297
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