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.
Let the assistant find your predicates
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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Ligaments And Tendons, Synthetic
Unknown
Ligaments and Tendons, Synthetic are prosthetic devices made from synthetic materials designed to replace or augment damaged or torn ligaments and tendons, used in orthopedic reconstructive surgery of joints such as the knee, shoulder, or ankle to restore mechanical stability and function. This is an FDA Class 3 device, the highest risk category, requiring Premarket Approval (PMA) to demonstrate safety and effectiveness. The product code is LML; no regulation number has been assigned, and the review panel is Orthopedic. This device is an implant.
No 510(k) clearances found for "LML". Try a different K-number, product code, or device name.
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.