Annalise Enterprise CTB Triage Trauma

K231384

Annalise-AI Pty Ltd. · cleared 2023-09-22 · product code QAS · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.6)
Annalise Enterprise CTB Triage Trauma is a software workflow tool which uses an artificial intelligence (AI) algorithm to identify suspected findings on non-contrast brain CT studies in the medical care environment.
Algorithmconvolutional neural network trained using deep-learning techniques
source quote (p.6)
Radiological findings are identified by the device using an AI algorithm a convolutional neural network trained using deep-learning techniques.
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

n=1,388 cases · 5 site(s)

standards: 21CFR892.2080

Bench

n=277 cases

endpoints: triage effectiveness (turn-around time)

Reported performance (5 observations)

sensitivity0.97CI 95.0, 98.4
source quote (p.9)
97.0 (95% CI: 95.0, 98.4)
specificity0.887CI 82.4, 94.0
source quote (p.9)
88.7 (95% CI: 82.4, 94.0)
sensitivityas written: “Sensitivity (Mass Effect >1.5mm & <=5.0mm)0.968CI 95.3, 98.1
source quote (p.9)
96.8 (95% CI: 95.3, 98.1)
specificityas written: “Specificity (Mass Effect >1.5mm & <=5.0mm)0.893CI 84.5, 93.5
source quote (p.9)
89.3 (95% CI: 84.5, 93.5)
sensitivityas written: “Sensitivity (Mass Effect >5.0mm)0.929CI 88.7, 96.4
source quote (p.9)
92.9 (95% CI: 88.7, 96.4)

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/K231384