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Eyenuk

EyeArt autonomous AI detects vision-threatening diabetic retinopathy in seconds. FDA 510(k)-cleared technology enabling non-invasive retinal screening at the point of care with 96-97% sensitivity.

United States

Official website

Machine-readable JSON profile

Categories

  • Other Businesses & Services (primary)

Services

  • Advanced Grading Tools — Specialized clinical workspace with progressive analysis capabilities for manual disease progression tracking
  • Autonomous DR Detection (mtmDR and vtDR) — Real-time detection of more than mild and vision-threatening diabetic retinopathy
  • Care Coordination — Automated EHR sync and prioritized specialist referral routing
  • Clinical Triage and Expert Review — Intelligent clinical triage and expert review powered by EyeArt and EyeScreen. Automatically prioritize vision-threatening pathology and resolve inconclusive cases with integrated specialist validation.
  • Compliance and Audit Readiness — Standardized records supporting accurate risk adjustment and quality compliance goals
  • Diabetic Retinopathy Screening — FDA-cleared autonomous AI for diabetic retinopathy screening powered by EyeArt. Detect more than mild and vision-threatening DR in seconds at the point of care without requiring a specialist.
  • EHR Integration — Direct sync to patient EHR for specialist referral coordination
  • Expert Human Review — Resolve ungradable images and inconclusive cases with centralized human grader validation
  • Longitudinal Comparison — Compare previous findings with recent encounters to identify subtle changes in ocular and systemic health
  • Longitudinal Disease Monitoring and Specialist Review — A lifelong commitment to vision and systemic health. Utilize comprehensive findings and advanced grading tools to support specialist review over time and strengthen continuity of patient care.
  • Multi-Camera Compatibility — Compatible with leading retinal camera manufacturers including Canon and Topcon
  • Multi-Condition Detection — Detect and flag DR, AMD, and GOND findings for comprehensive pathology identification
  • Network-Wide Reporting — On-demand dashboards monitoring screening volumes and pathology trends across clinical locations
  • Objective Risk Stratification — Automatically categorize exams by severity and flag high-risk pathology for urgent intervention
  • Program Compliance — Audit-ready records and centralized visibility for quality metrics
  • Systemic Health Insights — Non-invasive retinal imaging for early detection of systemic vascular and neural health risks

Service areas

  • United States

Public contacts

Declared AI capabilities

  • Online support — Detected from public website navigation or discovery metadata.

Directory status

Registry verification: Not Registry Verified

Directory score: 95

Public source evidence