BriefCase-Triage: CARE Multi-Triage CT for Pneumothorax; Pericardial effusion; Large aortic aneurysm; Shoulder fracture or dislocation device

K253578

Aidoc Medical , Ltd. · cleared 2026-02-26 · product code QAS · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.5)
BriefCase-Triage: CARE Multi-Triage CT for Pneumothorax; Pericardial effusion; Large aortic aneurysm; Shoulder fracture or dislocation device is a radiological computer-assisted triage and notification software device.
Algorithmlocked artificial intelligence algorithm fine tuned from a foundation model
source quote (p.10)
Multi-triage module, locked artificial intelligence algorithm fine tuned from a foundation model.
Adaptive (vs locked)No
source quote (p.10)
Multi-triage module, locked artificial intelligence algorithm fine tuned from a foundation model.
PCCPFDA source did not state this
Cybersecurity addressedYes
source quote (p.16)
Cybersecurity has been incorporated into the software development lifecycle in alignment with Section 524B of the FD&C Act and FDA cybersecurity guidance.

Validation studies (1)

Retrospective clinical

n=772 scans · 6 site(s)

endpoints: area under the curve (AUC) > 0.95 lower bound 95% confidence interval for the finding level receiver operating characteristic (ROC) curve; sensitivity; specificity; BriefCase time-to-notification compared to the predicate device

Reported performance (16 observations)

sensitivity94.8CI 89.5%-97.9%
source quote (p.11)
94.8% 89.5%-97.9%
specificity95.9CI 92.0%-98.8%
source quote (p.11)
95.9% 92.0%-98.8%
aurocas written: “auc98.9CI 97.8-99.7
source quote (p.11)
98.9 97.8-99.7
aurocas written: “Pneumothorax AUC98.9CI 97.8-99.7
source quote (p.11)
98.9 97.8-99.7
sensitivityas written: “Pneumothorax Sensitivity94.8CI 89.5%-97.9%
source quote (p.11)
94.8% 89.5%-97.9%
specificityas written: “Pneumothorax Specificity95.9CI 92.0%-98.8%
source quote (p.11)
95.9% 92.0%-98.8%
aurocas written: “Pericardial effusion AUC99.1CI 98.0-99.8
source quote (p.11)
99.1 98.0-99.8
sensitivityas written: “Pericardial effusion Sensitivity96.4CI 91.7%-98.8%
source quote (p.11)
96.4% 91.7%-98.8%
specificityas written: “Pericardial effusion Specificity96.5CI 92.9%-99.2%
source quote (p.11)
96.5% 92.9%-99.2%
aurocas written: “Large aortic aneurysm AUC99.5CI 98.9-99.9
source quote (p.11)
99.5 98.9-99.9
sensitivityas written: “Large aortic aneurysm Sensitivity97.1CI 92.7%-99.2%
source quote (p.11)
97.1% 92.7%-99.2%
specificityas written: “Large aortic aneurysm Specificity97.2CI 96.2%-100.0%
source quote (p.11)
97.2% 96.2%-100.0%
aurocas written: “Shoulder fracture or dislocation AUC99.9CI 99.7-100
source quote (p.11)
99.9 99.7-100
sensitivityas written: “Shoulder fracture or dislocation Sensitivity97.8CI 93.7%-99.5%
source quote (p.11)
97.8% 93.7%-99.5%
specificityas written: “Shoulder fracture or dislocation Specificity99.3CI 91.3%-98.5%
source quote (p.11)
99.3% 91.3%-98.5%
time_to_resultas written: “Mean time-to-notification49.9CI 46.4-53.5
source quote (p.11)
The BriefCase-Triage: CARE Multi-Triage CT for Pneumothorax; Pericardial effusion; Large aortic aneurysm; Shoulder fracture or dislocation mean time-to-notification for the subject device triage was 49.9 seconds (95% CI: 46.4-53.5).

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/K253578