Cleared Traditional

K252482 - CogNet AI-MT+ (FDA 510(k) Clearance)

Class II Radiology device cleared through predicate-based substantial equivalence - typically does not require clinical trials.

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Dec 2025
Decision
126d
Days
Class 2
Risk

K252482 is an FDA 510(k) clearance for the CogNet AI-MT+. Classified as Radiological Computer-assisted Prioritization Software For Lesions (product code QFM), Class II - Special Controls.

Submitted by Medcognetics, Inc. (Dallas, US). The FDA issued a Cleared decision on December 11, 2025 after a review of 126 days - within the typical 510(k) review window.

This device falls under the Radiology FDA review panel, regulated under 21 CFR 892.2080 - the FDA radiology and imaging software oversight framework. The Traditional 510(k) pathway establishes clearance through substantial equivalence to a legally marketed predicate device, without requiring clinical trial data.

Device pattern: Standard predicate-based submission. Standard predicate reliance. This clearance follows a standard predicate-based equivalence path within the Radiology review framework, consistent with the majority of Class II 510(k) submissions.

View all Medcognetics, Inc. devices

Submission Details

510(k) Number K252482 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received August 07, 2025
Decision Date December 11, 2025
Days to Decision 126 days
Submission Type Traditional
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
19d slower than avg
Panel avg: 107d · This submission: 126d
Pathway characteristics
Predicate-based equivalence. No clinical trials required.

Device Classification

Product Code QFM Radiological Computer-assisted Prioritization Software For Lesions
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 892.2080
Definition Radiological Computer-assisted Prioritization Software For Lesions Is An Image Processing Device Intended To Aid In Prioritization And Triage Of Time Sensitive Patient Detection And Diagnosis Based On The Analysis Of Medical Images Acquired From Radiological Signal Acquisition Systems. The Device Identifies Or Prioritizes Time Sensitive Imaging For Review By Prespecified Clinical Users Based On Software-based Image Analysis But Does Not Provide Information From The Image Analysis Other Than Triage And Notification.
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 - QFM Radiological Computer-assisted Prioritization Software For Lesions

All 38
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