Arterys MICA

K203744

Arterys Inc. · cleared 2022-03-14 · product code QIH · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.3)
Arterys MICA software is a medical diagnostic application that displays, processes, stores, and transfers DICOM and non-DICOM medical data.
Algorithmdeep learning algorithms
source quote (p.7)
Arterys MICA uses many deep learning algorithms to reduce many tedious, time-consuming manual steps, such as segmentation, landmark identification, etc.
Adaptive (vs locked)No
source quote (p.7)
The software does not perform any functions that could not be accomplished by a trained user with a manual method; the purpose of the automation is to save time and automate potential error-prone manual tasks, while allowing the results to be reviewed as per the normal clinical workflow.
PCCPFDA source did not state this
Cybersecurity addressedYes
source quote (p.9)
FDA Guidance documents Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices and Content of Premarket Submission for Management of Cybersecurity in Medical Devices.

Validation studies (3)

Bench

sample size not stated

standards: IEC 62304:2006/AC:2015- Medical device software – Software life cycle processes, ISO 14971:2019 Medical devices -- Application of risk management for medical devices, FDA Guidance documents Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices, Content of Premarket Submission for Management of Cybersecurity in Medical Devices

Bench

sample size not stated

Standalone

n=90 scans · 16 site(s)

Reported performance (0 observations)

FDA source did not state a quantitative performance metric — non-reporting is itself the signal.

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
3
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/K203744