What is neuroClues?
neuroClues is an innovative eye-tracking environment designed to assist healthcare practitioners by quantifying clinical neurological examinations. Leveraging years of research, it aims to provide non-invasive, rapid, and robust biomarkers derived from eye movements. The primary goal is to help identify neurological diseases potentially years before visible symptoms appear and to objectively track their progression over time.
This technology seeks to enhance diagnostic processes through improved sensitivity and specificity, aiding in differential diagnosis. Furthermore, neuroClues offers objective measurements for monitoring patient progress and evaluating the effectiveness of treatments. It also serves as an intuitive research tool, equipped with high spatial and temporal resolution for scientific investigation into eye movements and neurological conditions. neuroClues® is CE-marked as a Class IIa medical device in the European Union.
Features
- Eye-Tracking Technology: Captures and analyzes eye movements for clinical assessment.
- Biomarker Quantification: Provides objective measurements derived from eye-tracking data.
- Non-Invasive Examination: Offers a quick and patient-friendly method for assessment.
- Diagnostic Aid: Assists in differential diagnosis with sensitivity and specificity.
- Disease Progression Monitoring: Enables objective tracking of neurological conditions over time.
- Treatment Efficacy Measurement: Helps assess patient response to therapies.
- Research Tool Capability: Features high spatial and temporal resolution suitable for scientific studies.
Use Cases
- Aiding in the early detection of neurological disorders.
- Quantifying clinical neurological examinations objectively.
- Monitoring the progression of neurological diseases.
- Assessing the effectiveness of treatments for neurological conditions.
- Supporting differential diagnosis in neurology.
- Conducting research on eye movements related to neurological health.
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neuroClues Uptime Monitor
Average Uptime
100%
Average Response Time
719.29 ms
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