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RightEye Vision System

RightEye, LLC • Neurology • 09/28/2018

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

The RightEye Vision System is designed for the objective recording, viewing, and analysis of human eye movements using a dedicated hardware eye tracker and proprietary software, aiming to support clinicians in identifying visual tracking impairments. By providing quantitative metrics and graphical data on oculomotor functions, this nystagmograph system serves as a tool to supplement clinical decision-making rather than offering a standalone diagnosis.

Summary

The RightEye Vision System is a medical device intended for recording, viewing, and analyzing eye movements to support the identification of visual tracking impairment in human subjects. It utilizes a specific hardware setup, the Tobii Dynavox i15, which incorporates a remote camera and light source to record eye movements (including fixation, pursuit, and saccade) as an individual follows stimuli presented on a monitor. The system is designed to detect involuntary eye movement behavior and provide objective metrics from these measurements, capturing details not always observable through standard clinical observation, encompassing both horizontal and vertical eye movements. Data acquired by the RightEye Vision System is encrypted using HTTPS protocol and transferred to a remote web server for storage and analysis. Proprietary software algorithms on this server calculate metrics from the assessment data, generating quantitative outputs, supporting graphics, trendlines, and gaze replay features. Clinicians access these results via a dedicated web portal, optimized for Chrome and running on Windows 10 operating systems. This allows for tracking changes over time and is intended to supplement and inform clinical decision-making without providing a direct diagnosis. The system has undergone software validation and verification, as well as validation testing for test-retest reliability and accuracy, to confirm its performance for its intended use.

AI Regulatory Concerns

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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

Keywords

Eye trackingVisual tracking impairmentNystagmographOculomotor assessmentSaccadePursuit eye movementFixation eye movementObjective metricsTobii Dynavox i15Clinical decision support

Device Metadata

Submission Number
K181771
Company
RightEye, LLC
Panel
Neurology
Product Code
N/A
Data Type
Images
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. What specific quantitative metrics does the RightEye Vision System provide, and how are these metrics benchmarked or compared to normative data, if at all?; How does the system's analysis of involuntary and voluntary eye movements differentiate between various potential causes or types of visual tracking impairments?; What are the documented sensitivity and specificity of the RightEye Vision System in identifying visual tracking impairments when compared to traditional clinical evaluation techniques?; Could you elaborate on the test-retest reliability and accuracy validation studies, specifically the populations tested and the conditions under which these were established?; Are there any specific patient populations (e.g., pediatric, geriatric, individuals with certain neurological conditions) for whom the system's performance might be different or require specific calibration?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement

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Cybersecurity Evidence

Powered by SBOMator™

Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.

Cyber Score15/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment⚠ Not mentioned in summary
Postmarket Plan⚠ Not mentioned in summary
§524B ApplicableNo

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials(algorithm)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials(server, remote)
✓ Detected
HBOMHardware Bill of Materials(hardware, camera)
✓ Detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

Analysis:

• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.

• Evidence of ML-BOM, SaaSBOM, HBOM detected in AI-generated device summary.

• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.

• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.

• Not detected in AI-generated device summary: SBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

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RightEye Vision System - RightEye, LLC | ESL FDA AI Device Intelligence