CogniScan: AI-Assisted EEG Analysis Software
CogniScan helps neurologists and psychiatrists manage patient data and analyze EEG recordings. It is designed for practices looking to incorporate AI-driven informational insights into their diagnostic workflows.
At a glance
- Category
- Healthcare
- Best for
- Neurologists, Psychiatrists, Neurofeedback specialists, Healthcare providers
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- EEG Recording Analysis, Patient Progress Tracking, Remote Patient Intake, Patient Data Onboarding
- Integrations
- CSV import, TDT export
- Official website
- cogniscan.com
CogniScan is a clinician-focused portal designed to support the analysis of EEG recordings and the management of patient medical histories. The platform allows providers to upload EEG files and apply AI analysis to generate predictions and insights; the software specifies that these are for informational purposes and are not a substitute for clinical diagnosis.
The tool is designed for healthcare practitioners, including psychiatrists, neurologists, and neurofeedback specialists. It supports administrative tasks through patient database management and the ability to send digital self-assessment links to patients.
Buyers should note that the platform is currently in private beta. It is recommended to verify that the supported EEG file formats and the TDT export option align with a practice's existing software requirements.
Key Features
Processes EEG recordings to generate predictions and insights with adjustable confidence levels.
Supports uploading EEG files in EDF, EDF+, BDF, and XDF formats up to 50 MB.
Provides a database for managing patient demographics, medical history, and clinician notes.
Allows clinicians to generate and send unique assessment links to patients for completion.
Uses line and radar charts to track symptom progress and compare data across multiple patient sessions.
Analyzes patient self-assessments to provide severity scores and symptom profiles.
Use Cases
Uploading eyes-open and eyes-closed EEG recordings for AI-assisted processing.
Using session history comparison to monitor how a patient's symptoms change over several assessments.
Sending self-assessment links to patients to gather subjective data before a clinical visit.
Using CSV imports to add patient names and emails to the clinician database.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
The platform supports EDF, EDF+, BDF, and XDF formats with a maximum file size of 50 MB.
No. The software states that AI analysis is for informational purposes only and is not a substitute for clinical diagnosis.
Clinicians can select an assessment type within the portal and generate a unique link to be sent to the patient via email.
The platform is currently in private beta and requires an invitation to access.
Source category: Healthcare
Source subcategory: Medical Diagnostics
