EFAI Chestsuite XR Malpositioned ETT Assessment System (ETT-XR-100)

K242821

Ever Fortune.AI, Co., Ltd. · cleared 2025-02-20 · product code QAS · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.4)
EFAI CHESTSUITE XR MALPOSITIONED ETT ASSESSMENT SYSTEM (EFAI ETTXR) is a radiological computer-aided triage and notification software indicated for use in the analysis of chest X-ray (CXR) images in adults.
Algorithmdeep learning algorithms
source quote (p.4)
EFAI ETTXR analyzes cases using deep learning algorithms to identify suspected malpositioned ETT findings.
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedYes
source quote (p.9)
Additionally, the software validation activities were performed in accordance with ... the 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 (1)

Retrospective clinical

n=940 patients

endpoints: sensitivity; specificity

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

Reported performance (2 observations)

sensitivity0.89CI 0.846-0.923
source quote (p.9)
EFAI ETTXR demonstrated a sensitivity and specificity of 0.890 (95% CI=0.846-0.923)
specificity0.935CI 0.909-0.954
source quote (p.9)
and 0.935 (95% CI=0.909-0.954) respectively

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/K242821