Device Tracker

FDA-Authorized AI Devices in Neurology

Compare neurology AI by acquisition method, clinical job, output, and who must review the result.

Neurology AI devices solve different problems. Some help a specialist review a full EEG recording. Others make rapid bedside EEG available when a conventional study cannot begin quickly.

Choose the clinical job and acquisition method first. Seizure detection, seizure burden, image quantification, and triage are not interchangeable outputs.

FDA-authorized AI devices in neurology ... 4 records. Last updated 2026-10-12.
Device Manufacturer Route Year Modality Function
BrainScope One BrainScope 510(k) 2016 onward EEG Assesses likelihood of structural brain injury after head trauma
Ceribell Clarity Ceribell 510(k) 2023 EEG Monitors point-of-care EEG and alerts on sustained seizure activity
icobrain icometrix 510(k) 2016 onward Brain MRI and CT Quantifies brain volumes and lesion burden
Persyst 15 EEG Review and Analysis Persyst 510(k) Multiple clearances EEG Automated seizure and spike detection in EEG

Choose The EEG Workflow

  1. For full clinical EEG review: Persyst 15 adds seizure and spike detection, trends, artifact reduction, and review tools to recordings from compatible EEG systems.
  2. For rapid bedside monitoring: Ceribell Clarity works with the Ceribell point-of-care EEG system to watch for sustained seizure activity and report seizure burden.
  3. For the output: separate an alert, a trend, a burden estimate, and a final interpretation. Each answers a different clinical question.
  4. For the handoff: define who reviews the result, how quickly they respond, and what happens when the system cannot provide an answer.

Rapid EEG And Full EEG Are Different Tools

Rapid point-of-care EEG can shorten the wait for initial brain monitoring. Full clinical EEG provides broader electrode coverage and supports formal interpretation. A hospital may need both rather than treating one as a replacement for the other.

Verify The Current Record

Use this directory to understand each device's job. Then confirm its current authorization and intended use in the FDA's AI-Enabled Medical Device List and the manufacturer's instructions for use.