EyeBOX
Overview
EyeBOX by Oculogica is an innovative, FDA-cleared AI-powered eye-tracking device designed to objectively aid in the diagnosis of concussion (mild traumatic brain injury) and monitor recovery. Utilizing a proprietary algorithm and machine learning, the EyeBOX system tracks subtle eye movements, collecting over 100,000 data points in less than four minutes. This non-invasive test does not require a pre-injury baseline, making it highly valuable for immediate assessment in various clinical settings.
The device analyzes cranial nerve function by observing how eyes respond to visual stimuli, providing a ‘BOX score’ that correlates with the presence or absence of a concussion. Its baseline-free nature ensures that results cannot be influenced by patient will or literacy level, broadening its applicability across a wide patient range from 5 to 67 years of age. Recent FDA label expansions also allow for monitoring a patient’s recovery over time by comparing eye-tracking metrics against a normative population, supporting return-to-activity decisions and therapeutic interventions.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered eye-tracking technology
- Objective concussion diagnosis
- Baseline-free assessment (no pre-injury data needed)
- Non-invasive test
- Rapid results (under 4 minutes)
- Broad patient age range (5-67 years)
- Proprietary algorithm and machine learning
- Portable and lightweight device
- Reimbursable (CPT code available)
- Monitors concussion recovery over time
Use Cases
- Diagnosing acute concussion in emergency settings
- Monitoring patient recovery post-concussion
- Informing return-to-play decisions in sports medicine
- Assessing concussions in pediatric populations
- Evaluating head injuries in urgent care clinics
- Providing objective data for medico-legal cases
What Physicians Need to Know
EyeBOX serves as an objective, baseline-free aid in concussion diagnosis for patients aged 5-67, particularly within one week of injury. Interpret the BOX score and eye-tracking metrics in conjunction with a comprehensive neurological assessment and other clinical findings. Remember that EyeBOX is not a standalone diagnostic and should not replace advanced imaging like CT scans for structural injuries. Utilize the expanded label to monitor patient recovery over time by comparing results to normative data, which can support return-to-activity decisions and therapy recommendations. Ensure proper training on device operation and report interpretation for accurate use.
EyeBOX offers Wi-Fi and Ethernet connectivity, facilitating the upload of scan data to remote servers and enabling over-the-air software updates. This suggests potential for integration with electronic health record (EHR) systems for streamlined data management and patient record keeping, though specific EHR integrations are not detailed. Partnerships, such as with XcelABLE, indicate its use in broader medical evaluations, suggesting adaptability for various clinical and medico-legal contexts.
Details
| Category | Clinical Decision Support & Reference, Neurology AI |
| Pricing |
Contact for pricing
|
| Deployment | Device-based with cloud connectivity |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Yes AI-estimated EyeBOX received its initial FDA De Novo authorization in December 2018 as an aid in the diagnosis of concussion within one week of head injury in patients 5 through 67 years of age, in conjunction with a standard neurological assessment. Subsequent 510(k) clearances, including K201841 (dated 09/06/2020 as per user input, though other sources indicate a later submission date for K201841), have expanded its label to allow monitoring of recovery over time by comparing patient data to a normative population. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Neurology, Sports Medicine |
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