Harnessing deep learning
to prevent blindness

Learn how Eyenuk can help

Rutgers New Jersey Medical School Implements EyeArt® AI System for Diabetic Eye Screening

April 7, 2021

April 7, 2021 – The Institute of Ophthalmology and Visual Science (IOVS) at Rutgers New Jersey Medical School, the oldest medical school in New Jersey and a leading U.S. healthcare provider, recently implemented the EyeArt®…

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Retina Specialist Magazine Highlights the EyeArt System and Suggests AI Ready for Retina Referral Networks

March 30, 2021

March 30, 2021 – The March/April 2021 edition of Retina Specialist magazine includes a feature article emphasizing the readiness of artificial intelligence (AI) for use in screening for diabetic retinopathy (DR). In the article “AI…

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Free and Charitable Clinic in Virginia Adopts EyeArt® AI System for Diabetic Eye Screening

March 22, 2021

March 22, 2021 – Sinclair Health Clinic, a provider of low-cost, community-based health services to the Northern Shenandoah Valley area of Virginia, recently implemented the EyeArt® AI system for diabetic eye screening. This represents the…

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Western Maine Health Implements EyeArt® System for Diabetic Eye Screening

February 17, 2021

February 17, 2021 – Western Maine Health, affiliated with MaineHealth which is the largest health care organization in Maine and a leading health care provider serving northern New Hampshire, recently adopted the EyeArt® system for diabetic eye screening in the…

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EyeArt® Customer Success Featured in diatec journal Interview with Professor Dr. Thomas Haak

February 11, 2021

February 11, 2021 – Professor Dr. Thomas Haak, Chief Physician of the Diabetes Center Bad Mergentheim (Bad Mergentheim, Germany) pioneered implementation of the EyeArt artificial intelligence (AI) technology in Germany and has achieved great clinical…

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Introducing EyeArt®

EyeArt is the first FDA cleared AI technology for autonomous detection of both more than mild and vision-threatening diabetic retinopathy. The EyeArt® AI Eye Screening System is the most extensively validated autonomous AI technology, tested on over half a million patient visits globally with over two million images collected in real-world clinical environments.

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Real World Use

* EyeArt® has US FDA clearance, CE marking as a class IIa medical device in the European Union, and a Health Canada license.

EyeArtImages_for_US-FDA-resized

How can EyeArt Help?

The EyeArt system provides automated diabetic retinopathy screening without the need for expert human grading or eye dilation, enabling imaging, grading and reporting in a single office visit.

What does EyeArt Do?

The EyeArt system autonomously analyzes patient's retinal images acquired using an integrated fundus camera, robustly detects signs of disease, and returns an easy-to-read report in under 60 seconds.

How does EyeArt Work?

The EyeArt system incorporates a number of deep learning and image analysis algorithms to automatically assess the quality of the images, detect the presence and extent of lesions, and determine level of disease based on internationally recognized clinical scales.

 

Why choose EyeArt?

The EyeArt system is the world’s most-validated artificial intelligence (AI) screening tool for diabetic retinopathy, demonstrating high real-world sensitivity and specificity. It is proven to be safe, fast, and consistent.

Exceptional Performance in Pivotal, Prospective, Multi-Center Clinical Trial

EyeArt System Achieved 95.5% Sensitivity, 86.5% Specificity and 97% Imageability, While Meeting All Primary Endpoints with p<0.0001

Dr. Jennifer I. Lim, MD, Marion H. Schenk Esq. Chair, Professor of Ophthalmology, and Director of Retina Service at the University of Illinois at Chicago presented the Eyenuk Clinical Trial study results at the ARVO 2019 Imaging in the Eye Conference in Vancouver, Canada. Dr. Lim spoke to MD Magazine about the study in a multi part interview series. Click on the video to watch the interview.

Safe and effective in the real world

In a study with over 100,000 consecutive patient visits, EyeArt reports a 91.3% sensitivity and 91.1% specificity for referable DR and a 98.5% sensitivity for vision-threatening DR.

Experience EyeArt

Elevate Patient Care with the Confidence of AI Eye Screening

The high-performance EyeArt AI algorithm automatically detects diabetic retinopathy quickly, accurately, and consistently, with higher sensitivity than an eye care expert trained in image grading.

The EyeArt system is easy to use and with minimal training can be employed by nurses or technicians, enabling diabetic retinopathy screening at the point of care and eliminating an eye care specialist appointment just for screening.

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Elevate Patient v1

Undiagnosed Diabetic Retinopathy is a Thing of the Past

AI Eye Screening with EyeArt helps remove the biggest obstacle to annual DR screening and diagnosis: patient compliance.

The EyeArt system makes it possible for any physician to identify patients with vision-threatening retinopathy in-clinic, in real-time, so they can be immediately referred to an eyecare specialist for treatment to save their sight.

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Test and Give Results to Patients in the Same Appointment

Whether you work with diabetes patients as a general practitioner, endocrinologist, diabetologist, ophthalmologist, or an optometrist, EyeArt can enable fast, reliable, and accurate diabetic retinopathy screening for your patients.

Find out how easy it is to incorporate the EyeArt system into your practice.

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Want to try EyeArt?

EyeArt can be seamlessly integrated with your clinical workflow to enable automated DR screening.
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Experience EyeArt

* EyeArt® has US FDA clearance, CE marking as a class IIa medical device in the European Union, and a Health Canada license.

Our Product Suite

Products under development. Click here to know more. 

EyeMark™

Accurately Track
Retinopathy Progression

EyeSee™ AMD

Fully-Automated
AMD screening

EyeSee™ Glaucoma

Fully-Automated Glaucoma screening

EyeRead™ UWF

Lesion Analysis in
UWF images

* EyeMark™, EyeRead™UWF, EyeSee™AMD, EyeSee™Glaucoma have not yet been cleared for sales in any region.

advisor-1

EyeArt could have a huge impact in improving the lives of individuals with diabetes who still face the risk of losing vision asymptomatically

Prof. Andrew Boulton, MD, DSc(Hon), FACP, FRCP

Renowned Diabetes Expert, Professor of Medicine, University of Manchester, UK
collaborators-2

I believe that an automated, reliable DR screening tool such as EyeArt would empower primary care providers to better manage their patients with diabetes.

Srinivas Sadda, MD

President and CSO, Doheny Eye Institute, Los Angeles, USA
collaborators-3

I believe that automation of common tasks like DR screening would have a tremendous impact on the quality and extent of vision care for the disparity populations. Therefore I am eager to work with EyeArt tool for DR screening.

Dr. Todd Margolis, MD, PhD

Distinguished Professor and Chairman, Ophthalmology and Visual Sciences, Washington University School of Medicine, St. Louis, MO, USA (Former President of ARVO)
collaborators-1

...results of the large scale validation on over 100,000 patient encounters from the EyePACS database are highly encouraging and show that EyeArt can be a safe and effective alternative to manual screening.

Dr. Jorge Cuadros, OD, PhD

CEO of EyePACS, Assistant Clinical Professor, UC Berkeley School of Optometry, CA, USA
DrLaurenDaskivich

EyeArt’s automatic lesion detection and DR screening will allow us to better monitor our teleretinal patients at a lower cost in the under-resourced setting in which we care for Los Angeles’s most disadvantaged patients.

Dr. Lauren P. Daskivich, MD, MSHS

Director of Ophth. and Eye Health Programs, LA County Department of Health Services, Los Angeles, CA, USA

Eyenuk in the news

Select Collaborators, Customers, & Partners

The Doheny Eye Institute in Los Angeles, CA is recognized as a leading center for eye disease and vision research.

The Los Angeles County Department of Health Services safety net serves more than 800K patients annually and runs a teleretinal DR screening program.

Madras Diabetes Research Foundation (MDRF) in India was established in 1996. It's a premier research institute for diabetes and its complications.

Washington University School of Medicine, St. Louis, MO is one of the leading medical research, teaching and patient care institutions in the US.

The Armenian Eyecare Project (AECP) is a nonprofit organization dedicated to providing the Armenian people eye care to help eliminate preventable blindness.

Diabetes Clinic Bad Mergentheim (Germany) is a specialist hospital for inpatient diabetes treatment.

The National Health Service (NHS) is the public health service system of the United Kingdom. NHS runs the largest DR screening program in the world.

CAMO, the Ambrosian Ophthalmic Center, is an eye clinic of excellence, in Milan, for diagnostics, correction of visual defects and treatment of eye diseases.

Eye Picture Archive Communication System is a non-proprietary web-based application for exchanging eye-related clinical information  .