UltraSight Guidance

K251416

Ultrasight , Ltd. · cleared 2025-12-17 · product code QJU · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.5)
UltraSight Guidance is a software application based on machine learning that uses artificial intelligence (AI) to provide dynamic real-time guidance on the position and orientation of the transducer to help non-expert users acquire diagnostic-quality tomographic views of the heart.
Algorithmmachine learning, artificial intelligence (AI), MLM based algorithms, Deep Learning Based Algorithm
source quote (p.5)
UltraSight Guidance is a software application based on machine learning that uses artificial intelligence (AI) to provide dynamic real-time guidance on the position and orientation of the transducer to help non-expert users acquire diagnostic-quality tomographic views of the heart.
Adaptive (vs locked)FDA source did not state this
PCCPYes
source quote (p.1)
FDA's substantial equivalence determination also included the review and clearance of your Predetermined Change Control Plan (PCCP).
Cybersecurity addressedYes
source quote (p.10)
The device underwent comprehensive software validation and cybersecurity testing in accordance with the FDA's Guidance "Content of Premarket Submissions for Device Software Functions" and "Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions".

Validation studies (2)

Retrospective clinical

n=134 patients

endpoints: classification performance between “diagnosable” and “non diagnosable" clips of each view

standards: ACEP guidelines (Rachel B. Liu et al., “Emergency Ultrasound Standard Reporting Guidelines”, 2018, American College of Emergency Physicians)

Retrospective clinical

n=134 patients

endpoints: frame level accuracy of each guidance cue prediction

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
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/K251416