QLAB Advanced Quantification Software

K191647

Philips Healthcare · cleared 2019-12-20 · product code QIH · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.3)
QLAB Advanced Quantification Software is a software application package.
Algorithmautomatic segmentation technology of HeartModel applied to the Right Ventricle, and uses machine learning algorithms to identify the endocardial contours of the Right Ventricle.
source quote (p.5)
The proposed 3D Auto RV application is based on the automatic segmentation technology of HeartModel applied to the Right Ventricle, and uses machine learning algorithms to identify the endocardial contours of the Right Ventricle.
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedFDA source did not state this

Validation studies (2)

Retrospective clinical

sample size not stated

endpoints: RV end diastolic volume error rates; root mean square error (RMSE) for end diastolic RV volumes; root mean square error (RMSE) for end systolic RV volumes; root mean square error (RMSE) for RV ejection fraction

Retrospective clinical

sample size not stated

endpoints: accuracy and reproducibility of quantification; difference from CMR measurements of RV volume

Reported performance (0 observations)

FDA source did not state a quantitative performance metric — non-reporting is itself the signal.

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) K200974 (decision 2020-06-03) from Philips Healthcare for a matching device line ("QLAB Advanced Quantification Software") — a new clearance for the same line is a change event.

    first seen 2026-07-08 · k_number:K200974

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/K191647