WRDensity by Whiterabbit.ai

K202013

Whiterabbit.ai Inc. · cleared 2020-10-30 · product code QIH · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.3)
WRDensity is a software application intended for use with compatible full field digital mammography and digital breast tomosynthesis systems.
Algorithmdeep learning algorithm
source quote (p.4)
WRDensity is a standalone software application that automatically analyzes "for presentation” data from digital breast x-ray systems with a deep learning algorithm to assess breast tissue composition.
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedFDA source did not state this

Validation studies (1)

Retrospective clinical

n=871 patients

endpoints: accuracy; quadratically-weighted Cohen's kappa; confusion matrices; agreement, in terms of percentage of cases; maximum root mean square error

standards: IEC 62304:2006/AC:2015 - Medical device software – Software life cycle processes, FDA guidance document,“Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices.”

Reported performance (2 observations)

agreement_kappaas written: “quadratically-weighted Cohen's kappa (four-class task)0.9CI [0.88, 0.92]
source quote (p.8)
On the four-class task, WRDensity achieved a quadratically-weighted Cohen's kappa of 0.90, 95% confidence interval [0.88, 0.92].
agreement_kappaas written: “Cohen's kappa (binary task)0.88CI [0.85, 0.91]
source quote (p.9)
On the binary task, WRDensity achieved a Cohen's kappa of 0.88, 95% confidence interval [0.85, 0.91].

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/K202013