EFAI CARDIOSUITE CTA ACUTE AORTIC SYNDROME ASSESSMENT SYSTEM

K240291

Ever Fortune.AI, Co., Ltd. · cleared 2024-04-08 · product code QAS · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.3)
EFAI CARDIOSUITE CTA ACUTE AORTIC SYNDROME ASSESSMENT SYSTEM (EFAI AASCTA) is a radiological computer aided triage and notification software indicated for use in the analysis of chest or chest-abdomen CTA in adults aged 22 and older. The device is intended to assist hospital networks and appropriately trained medical specialists in workflow triage by flagging and communicating suspected positive cases of aortic dissection (AD) or aortic intramural hematoma (IMH) pathology.
AlgorithmArtificial intelligence algorithm with database of images
source quote (p.7)
Artificial intelligence algorithm with database of images
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedYes
source quote (p.7)
FDA Guidance documents, “Content of Premarket Submissions for Device Software Functions” and “Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions.”

Validation studies (2)

Retrospective clinical

n=380 cases

endpoints: identifying positive findings of aortic dissection (AD) or aortic intramural hematoma (IMH); sensitivity; specificity; system processing time per study

standards: IEC 62304:2006/A1:2016, ISO 14971:2019

Reader study (MRMC)

sample size not stated

Reported performance (2 observations)

sensitivity0.929CI 0.878-0.960
source quote (p.7)
sensitivity and specificity of 0.929 (95% CI=0.878-0.960)
specificity0.915CI 0.871-0.945
source quote (p.7)
specificity of 0.915 (95% CI=0.871-0.945)

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). 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/K240291