PeekMed web

K252452

Peek Health, S.A. · cleared 2025-11-12 · product code QIH · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.6)
Being software, it does not interact with any part of the body of the user and/or patient. ML models incorporated into the PeekMed web were also developed, trained, tested, and externally validated for their performance according to the internal procedures.
AlgorithmML models for segmentation, landmarking, classification, and detection
source quote (p.15)
ML models incorporated into the PeekMed web were also developed, trained, tested, and externally validated for their performance according to the internal procedures. The subject device includes updates to existing ML variants and the introduction of new ML variants, such as the segmentation and landmarking for the knee region.
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedFDA source did not state this

Validation studies (4)

Retrospective clinical

n=672 other

endpoints: DICE is no less than 90%; HD-95 is no more than 8; STD DICE is between +/- 10%; Precision is more than 85%; Recall is more than 90%

Retrospective clinical

n=561 other

endpoints: MRE is no more than 7mm; STD MRE is between +/- 5mm

Retrospective clinical

n=367 other

endpoints: Accuracy is no less than 90%; Precision is no less than 85%; Recall is no less than 90%; F1 score is no less than 90%

Retrospective clinical

n=198 other

endpoints: MAP is no less than 90%; Precision is no less than 85%; Recall is no less than 90%

Reported performance (10 observations)

diceas written: “DICEstated without value
source quote (p.16)
DICE is no less than 90%
diceas written: “STD DICEstated without value
source quote (p.16)
STD DICE is between +/- 10%
ppvas written: “Precision (Segmentation)stated without value
source quote (p.16)
Precision is more than 85%
sensitivityas written: “Recall (Segmentation)stated without value
source quote (p.16)
Recall is more than 90%
accuracyas written: “Accuracystated without value
source quote (p.16)
Accuracy is no less than 90%.
ppvas written: “Precision (Classification)stated without value
source quote (p.16)
Precision is no less than 85%
sensitivityas written: “Recall (Classification)stated without value
source quote (p.16)
Recall is no less than 90%
f1as written: “F1 scorestated without value
source quote (p.16)
F1 score is no less than 90%
ppvas written: “Precision (Detection)stated without value
source quote (p.16)
Precision is no less than 85%
sensitivityas written: “Recall (Detection)stated without value
source quote (p.16)
Recall is no less than 90%

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
1
drift signals on this device
  • re_clearance

    The FDA AI/ML device list shows a newer 510(k) K252856 (decision 2025-12-22) from Peek Health, S.A. for a matching device line ("PeekMed web") — a new clearance for the same line is a change event.

    first seen 2026-07-08 · k_number:K252856

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/K252452