AI-Rad Companion Organs RT

K232899

Siemens Medical Solutions U.S.A. · cleared 2024-04-03 · product code QKB · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.3)
AI-Rad Companion Organs RT is a post-processing software intended to automatically contour DICOM CT and MR predefined structures using deep-leaming-based algorithms.
Algorithmdeep learning algorithm
source quote (p.7)
AI-Rad Companion Organs RT VA50 and AI-Rad Companion Organs RT VA40 both use a deep learning algorithm to support their AI claims.
Adaptive (vs locked)No
source quote (p.7)
All models contained within AI-Rad Companion Organs RT VA50 and AI-Rad Companion Organs RT VA40 (K221305) are locked and cannot be modified by the user.
PCCPFDA source did not state this
Cybersecurity addressedYes
source quote (p.13)
Siemens Healthineers adheres to the cybersecurity recommendations as defined the FDA Guidance "Content of Premarket Submissions for Management for Cybersecurity in Medical Devices,” issued October 2, 2014 by implementing a process of preventing unauthorized access, modifications, misuse or denial of use, or the unauthorized use of information that is stored, accessed, or transferred from a medical device to an external recipient.

Validation studies (2)

Retrospective clinical

n=66 cases

endpoints: dice coefficient; absolute symmetric surface distance (ASSD); failure rate

standards: ISO 14971:2019

Retrospective clinical

n=414 cases · 32 site(s)

endpoints: mean and standard deviation Dice coefficients; lower 95th percentile confidence bound

standards: ISO 14971:2019

Reported performance (3 observations)

diceas written: “Dice (MR Contouring)85.75CI [82.85, 87.58]
source quote (p.14)
85.75 6.48 [82.85, 87.58]
diceas written: “Dice (CT Contouring) Head & Neck76.5CI [70.9, 80.8]
source quote (p.16)
Head & Neck 76.5 12.8 [70.9, 80.8]
diceas written: “Dice (CT Contouring) Pelvis84CI [80.7, 86.7]
source quote (p.17)
Pelvis 84.0 6.5 [80.7, 86.7]

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
0
MAUDE reports in code, 12mo
vs code's own 3-yr baseline
0
drift signals on this device

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/K232899