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®…
Retina Specialist Magazine Highlights the EyeArt System and Suggests AI Ready for Retina Referral Networks
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…
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…
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…
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…
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.
* EyeArt® has US FDA clearance, CE marking as a class IIa medical device in the European Union, and a Health Canada license.
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
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.