Eyenuk EyeArt

Eyenuk EyeArt

paid

EyeArt by Eyenuk autonomously detects diabetic retinopathy, AMD, and glaucoma from retinal images — no dilation, no expert grading, results in under 60 seconds.

About

Eyenuk EyeArt is a clinically validated, regulatory-approved AI eye screening system designed to autonomously detect sight-threatening conditions including diabetic retinopathy (DR), age-related macular degeneration (AMD), and glaucoma. Powered by deep learning and advanced image analysis algorithms, EyeArt analyzes retinal images captured by an integrated fundus camera, assesses image quality in real time, identifies lesions, and delivers an easy-to-read clinical report in under 60 seconds — all without requiring expert human grading or pupil dilation. The system is the most extensively validated autonomous AI for diabetic retinopathy, tested on over 500,000 patient visits and more than two million images in real-world clinical environments worldwide. EyeArt holds FDA clearance, CE marking as a Class IIb medical device in the European Union, and a Health Canada license, placing it among the most rigorously regulated AI diagnostic tools available. Designed for primary care clinics, endocrinology practices, optometry offices, and large health systems, EyeArt enables imaging, grading, and reporting within a single office visit. In 2025, it became the world's first AI eye screening technology deployed at national health system scale. It is built for physicians, optometrists, ophthalmologists, endocrinologists, nurses, insurers, and payors seeking to expand access to cost-effective, scalable diabetic eye care.

Key Features

  • Autonomous Retinal Disease Detection: Automatically detects diabetic retinopathy, age-related macular degeneration, and glaucoma from retinal fundus images without requiring expert human grading.
  • Sub-60-Second Clinical Reporting: Analyzes retinal images and returns an easy-to-read clinical report in under 60 seconds, enabling complete imaging, grading, and reporting in a single office visit.
  • Real-Time Image Quality Feedback: Provides instant feedback during image acquisition to ensure captured images meet quality standards, reducing the need for repeat visits.
  • Multi-Camera Compatibility: FDA-cleared for use with multiple fundus camera models, offering flexibility for primary care clinics and diverse clinical environments.
  • Global Regulatory Approvals: Holds FDA clearance, EU CE marking as a Class IIb medical device, and a Health Canada license — meeting the highest international standards for AI medical devices.

Use Cases

  • Primary care clinics screening diabetic patients for retinopathy without needing a specialist referral or pupil dilation
  • National health systems deploying autonomous AI eye screening at population scale to reduce preventable vision loss from diabetes
  • Endocrinology and diabetology practices integrating retinal screening seamlessly into routine diabetes management appointments
  • Optometry and ophthalmology offices streamlining patient workflows with automated retinal analysis and instant clinical reports
  • Health insurers and payors implementing AI-driven screening programs to lower the long-term costs of late-stage diabetic eye disease

Pros

  • Most Extensively Validated AI Eye Screener: Tested on over 500,000 patient visits and 2 million+ real-world retinal images, making it the most validated autonomous AI system for diabetic retinopathy screening globally.
  • No Dilation or Specialist Required: Eliminates the need for pupil dilation and specialist graders, significantly improving patient comfort, clinical throughput, and access in primary care settings.
  • Multi-Disease Screening in One Workflow: Screens for three major sight-threatening conditions — DR, AMD, and glaucoma — in a single, streamlined clinical encounter.
  • Strong Regulatory Pedigree: FDA cleared, CE marked (Class IIb), and Health Canada licensed, providing high confidence for deployment in regulated healthcare and national health system environments.

Cons

  • Clinical and Enterprise Use Only: EyeArt is designed exclusively for healthcare organizations and clinical settings; it is not accessible to individual consumers or small independent practices without a formal partnership.
  • Pricing Not Publicly Listed: Costs are not disclosed on the website and require direct engagement with Eyenuk's sales team, making upfront cost comparisons difficult.
  • Hardware Dependency: Requires a compatible retinal fundus camera to operate, adding hardware procurement and setup costs beyond the software investment.

Frequently Asked Questions

What eye diseases can EyeArt detect?

EyeArt autonomously detects diabetic retinopathy (DR), age-related macular degeneration (AMD), and glaucoma using deep learning analysis of retinal fundus images.

Does EyeArt require eye dilation?

No. EyeArt does not require pupil dilation, enabling a faster, more comfortable patient experience that can be completed entirely within a single office visit.

Is EyeArt approved by the FDA?

Yes. EyeArt holds FDA clearance, CE marking as a Class IIb medical device in the EU, and a Health Canada license, making it one of the most extensively regulated autonomous AI eye screening systems available.

How quickly does EyeArt produce results?

EyeArt analyzes retinal images and generates an easy-to-read clinical report in under 60 seconds from image acquisition.

Who is EyeArt designed for?

EyeArt is designed for physicians, optometrists, ophthalmologists, endocrinologists, nurses, health systems, and insurers seeking scalable, autonomous AI-powered diabetic eye screening programs.

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