AVA (Augmented Vascular Analysis)

K201369

See-Mode Technologies Pte. Ltd. · cleared 2020-09-16 · product code LLZ · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.3)
See-Mode AVA (Augmented Vascular Analysis) is a stand-alone, image processing software for analysis, measurement, and reporting of DICOM-compliant vascular ultrasound images obtained from carotid and lower limb arteries.
Algorithmartificial intelligence and machine learning
source quote (p.9)
With the advancements in the field of artificial intelligence and machine learning, See-Mode AVA incorporates a logical update to use artificial intelligence for image analysis. Machine learning and artificial intelligence (AI) have been proven as an efficient and accurate method for analyzing medical images and is used among a wide range of legally marketed medical devices.
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedYes
source quote (p.11)
See-mode's risk analysis for AVA was completed, with the hazard risk analysis submitted as part of this application. All the risks identified with the subject device are acceptable and have been reduced as far as possible, in accordance with ISO 14971:2007 Medical devices - Application of risk management to medical devices.

Validation studies (4)

Retrospective clinical

n=205 images

endpoints: IMT correlation coefficient

standards: ISO 14971:2007

Retrospective clinical

sample size not stated

endpoints: accuracy in reading annotations

standards: ISO 14971:2007

Retrospective clinical

n=1,117 images

endpoints: Correlation coefficient for PSV; Correlation coefficient for EDV

standards: ISO 14971:2007

Retrospective clinical

n=150 images

endpoints: overall accuracy in detecting waveform type

standards: ISO 14971:2007

Reported performance (2 observations)

accuracyas written: “Accuracy in reading annotationsstated without valueCI 92% to 96%
source quote (p.10)
The text recognition algorithm had a high accuracy in reading different types of annotation varying from 92% to 96%.
accuracyas written: “Overall accuracy in detecting waveform type0.93
source quote (p.11)
It was observed that the algorithm was in strong agreement with the expert annotations with a 93% overall accuracy in detecting the waveform type.

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

48
recalls in product code, 24mo
295
MAUDE reports in code, 12mo
+683%
vs code's own 3-yr baseline
26
drift signals on this device
  • adverse_event_inflection

    MAUDE adverse-event reports for product code LLZ: 295 in the 12 months ending 2026-06, vs a 37.7/12mo average over the prior 3 windows (+683%). Code-level count — reports are not attributed to this specific device.

    first seen 2026-07-08 · openFDA /device/event.json count=date_received product_code=LLZ

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (GE Medical Systems SCS, initiated 2026-05-08): "GE HealthCare has become aware of a context synchronization issue in AW Server 3.2 ext. 6.5. When a user selects a patient or exam in the AW Server Web Client worklist and launches" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:99042

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (PHILIPS MEDICAL SYSTEMS NEDERLAND B.V. Veenpluis 4-6 Best Netherlands, initiated 2026-03-05): "Potential that mis-ordered frames in Vue Motion during dynamic cine runs may cause images frames to display out of sequence." Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:98520

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (GE Medical Systems, LLC, initiated 2026-01-30): "There is a potential cybersecurity vulnerability affecting certain versions of Centricity Universal Viewer. User login credentials may be exposed on the local client workstation, w" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:98428

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (Focalyx Technologies, LLC., initiated 2025-12-23): "Software device that is an accessory for image-guided interventional and diagnostic procedures involving prostate has accessories that may not function properly with Windows 10, wh" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:98137

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (DICOM Grid, Inc., initiated 2025-11-18): "Software intended to aid in diagnosing conditions, planning treatments, visualizing anatomical structures has a bug that, if all of following are met: Viewing images in InteleShare" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:97993

  • …and 20 more.

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/K201369