Axial3D Insight

K232841

Axial Medical Printing Limited · cleared 2023-11-15 · product code QIH · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.6)
Axial3D Insight is a secure, highly available cloud-based image processing, segmentation, and 3D modelling framework for the transfer of imaging information either as a digital file or as a 3D printed physical model.
AlgorithmAxialML machine learning models
source quote (p.12)
AxialML machine learning models are used to generate an initial segmentation of cases, however the output of these models is not used in isolation to produce the final 3D patient specific model.
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedYes
source quote (p.6)
Axial3D Insight is a secure, highly available cloud-based image processing, segmentation, and 3D modelling framework for the transfer of imaging information either as a digital file or as a 3D printed physical model.

Validation studies (5)

Retrospective clinical

n=12 cases

endpoints: segmentation accuracy (scored within acceptance criteria of 1 or 2a)

standards: ACR RADPEER committee white paper with 2016 updates

Retrospective clinical

n=12 cases

endpoints: successful validation of the 3D models produced by Axial3D demonstrating the device outputs satisfied end user needs and indications for use

Standalone

n=48,869 images

Bench

sample size not stated

endpoints: reproduce the required geometry to an acceptance criterion of ± 0.3mm

standards: Slide 12 FDA/CDRH–RSNA SIG Joint Meeting on 3D Printed Patient-Specific Anatomic Models

Bench

sample size not stated

endpoints: produce anatomical models with the required accuracy of the product

Reported performance (1 observation)

accuracyas written: “Geometric accuracy0.3
source quote (p.15)
This verification test establishes that the printer can reproduce the required geometry to an acceptance criterion of ± 0.3mm, the same acceptance criteria used to verify the predicate device (Axial 3D Insight, K222745)

Each value carries its own analysis unit and task — never compare or pool across devices. Source: 510(k) summary PDF.

Predicate network

Postmarket — what happened after clearance

0
recalls in product code, 24mo
3
MAUDE reports in code, 12mo
vs code's own 3-yr baseline
1
drift signals on this device
  • re_clearance

    The FDA AI/ML device list shows a newer 510(k) K250369 (decision 2025-09-18) from Axial Medical Printing Limited for a matching device line ("Axial3D Insight") — a new clearance for the same line is a change event.

    first seen 2026-07-08 · k_number:K250369

Recall and MAUDE counts are product-code-level (reports aren't reliably attributable to one device). Signals are descriptive observables with sources — never a judgment that the device is unsafe or drifting. Snapshot 2026-07-08.

Reimbursement — how devices like this got paid

Not yet tracked — no payment pathway indexed for this clearance (the reimbursement corpus is a growing seed set).

RIGOR™ Precedent · public FDA/CMS data · descriptive decision-support, not regulatory or reimbursement advice. Share this page: radar.healthai.com/precedent/device/K232841