Automatic Anatomy Recognition (AAR)
K203610Quantitative Radiology Solutions, LLC · cleared 2021-04-20 · product code QKB · Radiology
Premarket evidence — what FDA accepted
Device typesamd
source quote (p.4)
“Automatic Anatomy Recognition product for radiation therapy planning (AAR) is a software-only medical device and is deployed on a cloud-based platform. The predicate and subject device are both software-only medical devices.”
AlgorithmDeep Learning
source quote (p.5)
“The predicate and subject device both utilize deep learning contouring to automatically contour the organ-at-risk for the head, neck, and thorax.”
Adaptive (vs locked)No
source quote (p.5)
“Software implementing artificial intelligence (AI) including non-adaptive machine learning algorithms trained with clinical and/or artificial radiological images.”
PCCPFDA source did not state this
Cybersecurity addressedFDA source did not state this
Validation studies (1)
Bench
sample size not stated
endpoints: segmentation accuracy using DICE similarity coefficients; mean 95% Hausdorff Distance (HD) calculation
standards: IEC 62304
Reported performance (1 observation)
diceas written: “DICE similarity coefficients”stated without value
source quote (p.5)
“The predicate and subject device conducted segmentation performance tests to evaluate the automated segmentation accuracy using DICE similarity coefficients.”
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).