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.

Product Code: QKQ FDA class 2

Digital Pathology Image Viewing And Management Software

Pathology

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Digital Pathology Image Viewing And Management Software is a Class 2 pathology software device intended for viewing and management of digital images of scanned surgical pathology slides prepared from formalin-fixed paraffin embedded (FFPE) tissue, serving as an aid to pathologists for reviewing and interpreting digital images for the purposes of primary diagnosis. It requires 510(k) clearance and is regulated under 21 CFR 864.3700 within the Pathology medical specialty. The product code is QKQ. The device is not an implant and is not flagged as life-sustaining.

510(k) Clearances

10 matches
K Number
Device Name
AISight Dx
CaloPix
Viewer+
FullFocus
MetaLite DX Digital Pathology Software
aetherSlide
Novo
Dynamyx Digital Pathology Software
FullFocus
Sectra Digital Pathology Module

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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