NeuroMatch

K241390

LVIS Corporation · cleared 2024-11-26 · product code OMB · Neurology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.6)
NeuroMatch is a cloud-based software as a medical device (SaMD) intended to review, monitor, display, and analyze previously acquired and/or near real-time electroencephalogram (EEG) data from patients 18 years old or older.
Algorithmdeep learning-based algorithm
source quote (p.7)
The NeuroMatch Spike Detection feature uses a deep learning-based algorithm that detects potential epileptiform spikes and annotates each detected potential spike with a unique identification.
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedYes
source quote (p.14)
A comprehensive battery of cybersecurity testing per FDA's guidance entitled “Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions” (issued September 2023), including Configuration Assessment, Vulnerability Scanning, and Penetration Testing, was conducted.

Validation studies (2)

Retrospective clinical

n=181 patients · 3 site(s)

endpoints: non-inferiority to the predicate device based on both sensitivity and false detection rate (FDR)

Retrospective clinical

n=149 patients · 3 site(s)

endpoints: non-inferiority to the performance of the predicate device in terms of sensitivity and false detection rate

Reported performance (3 observations)

sensitivity75.01CI [72.62, 77.57]
source quote (p.16)
NeuroMatch 75.01 [72.62, 77.57]
detection_rateas written: “False Detection Rate (FDR) (per 24 hrs)3.74CI [2.59, 5.44]
source quote (p.16)
NeuroMatch 3.74 [2.59, 5.44]
detection_rateas written: “False Detection Rate (FDR) (per minute)3.24CI [2.15, 4.33]
source quote (p.17)
NeuroMatch 3.24 [2.15, 4.33]

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
-100%
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 Neurology 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/K241390