Tool · 510(k)

510(k) Predicate Finder

Find potential predicate devices for your 510(k) submission. Enter a K-number to find all clearances with the same product code, a three-letter product code to browse clearances directly, or search by device name.

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Describe your device and the Research Assistant searches 510(k)s, compares intended use, and drafts a predicate shortlist — with citations.

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Product Code: LME FDA class 3

Monitor, Blood-Flow, Cerebral, Thermal Diffusion

Unknown

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Monitor, Blood-Flow, Cerebral, Thermal Diffusion is a monitoring device that uses the thermal diffusion principle to measure cerebral blood flow, providing continuous or intermittent assessment of regional brain perfusion in critical care or neurosurgical settings, where compromised cerebral blood flow indicates risk of ischemic injury. This is an FDA Class 3 device, the highest risk category, requiring Premarket Approval (PMA) to demonstrate safety and effectiveness. The product code is LME; no regulation number has been assigned. The review panel is Neurology.

510(k) Clearances

1 matches
K Number
Device Name
THERMAL DIFFUSION CEREBRAL BLOOD FLOW MONITOR

What is a Predicate Device?

A predicate device is a legally marketed device that a new 510(k) applicant uses to demonstrate substantial equivalence. The FDA's 510(k) pathway requires manufacturers to show that their device has the same intended use and similar technological characteristics as one or more predicate devices already cleared for commercial distribution.

Finding the right predicate is a critical step in 510(k) strategy. Manufacturers typically search for cleared devices with the same FDA product code, which groups devices by their intended use and regulatory classification. This tool helps you identify potential predicates by browsing all clearances within a product code.

Note that predicate devices must be legally marketed — they cannot be devices that were cleared but never commercialized, or devices subject to a mandatory recall. The determination of substantial equivalence considers intended use, technological characteristics, and performance data.

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