IB Lab LAMA

K223646

IB Lab GmbH · cleared 2023-06-16 · product code QIH · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.5)
IB Lab LAMA is a fully-automated radiological image processing software device intended to aid users in the measurement of limb-length discrepancy and quantitative knee alignment parameters on uni- and bilateral AP full leg radiographs of individuals at least 22 years of age.
Algorithmdeep learning technology
source quote (p.5)
IB Lab LAMA uses deep learning technology to provide precise fully-automated geometric length and angle measurements of the lower limb on full leg X-ray images.
Adaptive (vs locked)No
source quote (p.5)
The measurements are compared to fixed predetermined norm-ranges, based on standard state of the art clinical practices hard-coded into the software.
PCCPNo
Cybersecurity addressedNo

Validation studies (1)

Retrospective clinical

n=189 patients · 1 site(s)

endpoints: Agreement; Arthroplasty Detection (TKA and THA)

Reported performance (2 observations)

sensitivity95.05CI 90.29%, 98.96%
source quote (p.12)
95.05% (90.29%, 98.96%)
specificity99.8CI 99.39%, 100.00%
source quote (p.12)
99.80% (99.39%, 100.00%)

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); a recall is shown as device-attributed only when the recall record itself lists this clearance number. 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).

Applicable FDA guidance — what the submission is measured against

FDA guidance documents and guiding principles applicable to 510(k) AI/ML devices in the Radiology panel. A curated reference index, not legal or regulatory advice — each item states its own status, and a draft is never binding.

Applicability is derived from the device's FDA advisory panel and pathway — cross-cutting guidances apply to every AI/ML device; panel-specific ones are flagged. Titles, dates, and links verified against fda.gov as of July 2026.

Constat Precedent · public FDA/CMS data · descriptive decision-support, not regulatory or reimbursement advice. Share this page: constat.dev/precedent/device/K223646