HealthCXR

K192320

Zebra Medical Vision, Ltd. · cleared 2019-11-26 · product code QFM · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.3)
The Zebra HealthCXR device is a software workflow tool designed to aid the clinical assessment of adult Chest X-Ray cases with features suggestive of pleural effusion in the medical care environment.
Algorithmartificial intelligence algorithm
source quote (p.3)
HealthCXR analyzes cases using an artificial intelligence algorithm to identify suspected findings.
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=554 cases

endpoints: AUC; sensitivity; specificity

Reported performance (3 observations)

sensitivity0.9674CI [92.79; 96.48]
source quote (p.8)
The first operating point showed a sensitivity of 96.74% (95% CI: [92.79; 96.48])
specificity0.9317CI [89.57; 95.58]
source quote (p.8)
and a specificity of 93.17% (95% CI: [89.57; 95.58]).
aurocas written: “auc0.9885CI [0.9815, 0.9956]
source quote (p.8)
Overall, the HealthCXR was able to demonstrate an area under the curve (AUC) of 0.9885 (95% CI: [0.9815, 0.9956])

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); a recall is shown as device-attributed only when the recall record itself lists this clearance number. 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).

Applicable FDA guidance — what the submission is measured against

FDA guidance documents and guiding principles applicable to 510(k) AI/ML devices in the Radiology panel. A curated reference index, not legal or regulatory advice — each item states its own status, and a draft is never binding.

Applicability is derived from the device's FDA advisory panel and pathway — cross-cutting guidances apply to every AI/ML device; panel-specific ones are flagged. Titles, dates, and links verified against fda.gov as of July 2026.

Constat Precedent · public FDA/CMS data · descriptive decision-support, not regulatory or reimbursement advice. Share this page: constat.dev/precedent/device/K192320