Cleared Traditional

K201039 - HepaFat-AI (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 2020
Decision
231d
Days
Class 2
Risk

K201039 is an FDA 510(k) clearance for the HepaFat-AI. Classified as System, Nuclear Magnetic Resonance Imaging (product code LNH), Class II - Special Controls.

Submitted by Resonance Health Analysis Services Pty, Ltd. (Perth, AU). The FDA issued a Cleared decision on December 7, 2020 after a review of 231 days - an extended review cycle.

This device falls under the Radiology FDA review panel, regulated under 21 CFR 892.1000 - 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 Resonance Health Analysis Services Pty, Ltd. devices

Submission Details

510(k) Number K201039 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received April 20, 2020
Decision Date December 07, 2020
Days to Decision 231 days
Submission Type Traditional
Review Panel Radiology (RA)
Summary Summary PDF
Third-party Review No - reviewed directly by FDA
Regulatory Context
Review time vs. panel average
124d slower than avg
Panel avg: 107d · This submission: 231d
Pathway characteristics
Predicate-based equivalence. No clinical trials required.

Device Classification

Product Code LNH System, Nuclear Magnetic Resonance Imaging
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 892.1000
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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