BriefCase-Triage

K253265

Aidoc Medical , Ltd. · cleared 2025-11-06 · product code QAS · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.4)
BriefCase-Triage is a radiological computer aided triage and notification software indicated for use in the analysis of abdominal CT images in adults or transitional adolescents aged 18 and older. The device is intended to assist hospital networks and appropriately trained medical specialists in workflow triage by flagging and communication of suspected positive findings of Intra-abdominal free gas (IFG) pathologies.
Algorithmartificial intelligence, deep-learning algorithm
source quote (p.6)
BriefCase-Triage uses an artificial intelligence algorithm to analyze images and highlight cases with the detected findings in parallel to the ongoing standard of care image interpretation. The user is presented with notifications for cases with suspected findings. Notifications include compressed preview images that are meant for informational purposes only and not intended for diagnostic use beyond notification. The device does not alter the original medical image and is not intended to be used as a diagnostic device.
Adaptive (vs locked)No
source quote (p.5)
The software is based on an algorithm programmed component and is intended to run on a linux-based server in a cloud environment.
PCCPFDA source did not state this
Cybersecurity addressedYes
source quote (p.17)
Cybersecurity has been incorporated into the software development lifecycle in alignment with Section 524B of the FD&C Act and FDA cybersecurity guidance. Aidoc has implemented a risk-based approach to cybersecurity, including secure design practices, vulnerability assessments, a Software Bill of Materials (SBOM), and penetration testing. These efforts support the safety, effectiveness, and resilience of the software against cybersecurity threats.

Validation studies (1)

Retrospective clinical

n=394 cases · 6 site(s)

endpoints: sensitivity; specificity; Briefcase-Triage time-to-notification; Positive Predictive Value (PPV); Negative Predictive Value (NPV); Positive Likelihood Ratio (PLR); Negative Likelihood Ratio (NLR)

Reported performance (3 observations)

sensitivity94.2CI 89.6%, 97.2%
source quote (p.10)
Sensitivity was 94.2% (95% CI: 89.6%, 97.2%)
specificity94.6CI 90.7%, 97.2%
source quote (p.10)
and Specificity was 94.6% (95% CI: 90.7%, 97.2%)
time_to_resultas written: “time-to-notification10.4CI 10.1-10.8
source quote (p.10)
The Briefcase-Triage mean time-to-notification for the subject IFG triage was 10.4 seconds (95% CI: 10.1-10.8).

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
3
drift signals on this device
  • re_clearance

    The FDA AI/ML device list shows a newer 510(k) K253578 (decision 2026-02-26) from Aidoc Medical , Ltd. for a matching device line ("BriefCase-Triage: CARE Multi-Triage CT for Pneumothorax; Pericardial effusion; Large aortic aneurysm; Shoulder fracture or dislocation device") — a new clearance for the same line is a change event.

    first seen 2026-07-08 · k_number:K253578

  • re_clearance

    The FDA AI/ML device list shows a newer 510(k) K251195 (decision 2026-01-27) from Aidoc Medical , Ltd. for a matching device line ("BriefCase-Triage") — a new clearance for the same line is a change event.

    first seen 2026-07-08 · k_number:K251195

  • re_clearance

    The FDA AI/ML device list shows a newer 510(k) K252970 (decision 2026-01-07) from Aidoc Medical , Ltd. for a matching device line ("BriefCase-Triage: CARE Multi-triage CT Body") — a new clearance for the same line is a change event.

    first seen 2026-07-08 · k_number:K252970

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/K253265