Cleared Traditional

K242270 - OrthoNext Platform System

K242270 is the FDA 510(k) clearance for OrthoNext Platform System by Orthofix Srl. It is a Class 2 Radiology device (product code QIH) cleared through the Traditional 510(k) pathway after a 140-day FDA review.

K242270 · Orthofix Srl · Radiology device
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Dec 2024
Decision
140d
Days
Class 2
Risk

K242270 is an FDA 510(k) clearance for the OrthoNext Platform System. Classified as Automated Radiological Image Processing Software within the QIH classification (a category dominated by AI-based automated radiology processing systems), Class II - Special Controls.

Submitted by Orthofix Srl (Bussolengo (Vr), IT). The FDA issued a Cleared decision on December 19, 2024 after a review of 140 days - within the typical 510(k) review window.

This device falls under the Radiology FDA review panel, regulated under 21 CFR 892.2050 - 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: Incremental AI imaging tool. Moderate equivalence dependency. Overall, this clearance reflects a predicate-aligned approval typical of modern AI radiology extensions - not a novel clinical breakthrough, but a validated iteration within an established regulatory category.

View all Orthofix Srl devices

Submission Details

510(k) Number K242270 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received August 01, 2024
Decision Date December 19, 2024
Days to Decision 140 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
33d slower than avg
Panel avg: 107d · This submission: 140d
Pathway characteristics
Predicate-based equivalence. No clinical trials required.

Device Classification

Product Code QIH Automated Radiological Image Processing Software
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 892.2050
Definition To Provide Automated Radiological Image Processing And Analysis Tools. Software Implementing Artificial Intelligence Including Nonadaptive Machine Learning Algorithms Trained With Clinical And/or Artificial Data. In These Devices, The Algorithm Training Data Typically Impacts Device Performance. Adaptive Ai Algorithms Are Not Within Scope Of This Product Code.
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 - QIH Automated Radiological Image Processing Software

All 297
Devices cleared under the same product code (QIH) and FDA review panel - the closest regulatory comparables to K242270.
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