NeuroQuant

K241098

CorTechs Labs, Inc. · cleared 2024-08-22 · product code QIH · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.5)
NeuroQuant is a fully automated MR imaging post-processing software medical device that provides automatic labeling, visualization, and volumetric quantification of brain structures and lesions from a set of MR images and returns segmented images and morphometric reports.
Algorithmdynamic probabilistic neuroanatomical atlas, with age and gender specificity, based on the MR image intensity and static deep-learning technologies
source quote (p.6)
Automatic segmentation and quantification of brain structures and lesions using a dynamic probabilistic neuroanatomical atlas, with age and gender specificity, based on the MR image intensity and static deep-learning technologies
Adaptive (vs locked)No
source quote (p.7)
Addition of static deep-learning technologies
PCCPFDA source did not state this
Cybersecurity addressedFDA source did not state this

Validation studies (3)

Retrospective clinical

n=30 patients · 16 site(s)

endpoints: Dice Similarity Coefficient (DSC)

Retrospective clinical

n=63 patients · 22 site(s)

endpoints: Dice Similarity Coefficient (DSC)

Retrospective clinical

n=117 patients · 68 site(s)

endpoints: F1 Score

Reported performance (2 observations)

diceas written: “Mean Dice Similarity Coefficient (DSC)0.7CI standard deviation of 0.14
source quote (p.8)
achieving a mean Dice Similarity Coefficient (DSC) of 0.70 with a standard deviation of 0.14
f1as written: “Median F1 Score0.6
source quote (p.8)
achieving a median F1 Score of 0.60

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
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/K241098