Hi-D Imaging 4TAVR

K241984

Hi-D Imaging AG · cleared 2025-04-02 · product code QIH · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.4)
Hi-D Imaging 4TAVR is a software as a medical device (SaMD) intended to support trained healthcare professionals (cardiologists, radiologists, clinical specialists) with the assessment of the cardiovascular anatomy and visualization and measurement of structures of the heart and vessels, including the aortic valve, and with pre-operational planning and sizing for transcatheter aortic valve replacement (TAVR) procedures by providing:
Algorithmartificial intelligence (AI) deep learning model and computer vision methods
source quote (p.5)
4TAVR utilizes an artificial intelligence (AI) deep learning model and computer vision methods that provide:
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedFDA source did not state this

Validation studies (3)

Bench

n=100 cases · 3 site(s)

endpoints: reproducibility

standards: FDA Guidance Document entitled, “Content of Premarket Submissions for Device Software Functions,” issued on June 14, 2023

Reader study (MRMC)

n=15 other

endpoints: 0% user errors and 95% of the cases passed without difficulty

Retrospective clinical

n=929 scans

endpoints: accuracy for annulus parameters; accuracy for other TAVR parameters

Reported performance (2 observations)

accuracyas written: “Acceptance criteria for accuracy for annulus parameters90CI >90%
source quote (p.10)
The acceptance criteria were set to be >90% accuracy for annulus parameters
accuracyas written: “Acceptance criteria for accuracy for other TAVR parameters85CI >85%
source quote (p.10)
and >85% accuracy for other TAVR parameters between 4TAVR results and the mean of observers' ground truth measurements.

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/K241984