Eyenuk Inc.’s AI-based diabetic retinopathy screening software EyeArt™ tested with portable smartphone-based imaging device in new study indicating potential for highly sensitive yet cost-effective mass retinal screening

Nature Eye Article

A new study published in the international ‘Eye’ journal (Springer Nature) demonstrated very high sensitivity for detecting any diabetic retinopathy (95.8%) and sight-threatening diabetic retinopathy (99.1%) using EyeArt™ automated screening software with Remidio Fundus on Phone system. LOS ANGELES, CA, March 12, 2018 — Eyenuk, Inc., a leading developer of advanced clinically supported artificial intelligence […]

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Eyenuk, Inc. Receives Health Canada Approval for EyeArt™, an AI-enabled Cloud-based Automated Diabetic Retinopathy Screening Software


Eyenuk’s quality management system has been registered under the Medical Device Single Audit Program (“MDSAP”) as conforming to the requirements of ISO 13485:2003, after successfully completing an audit for the relevant quality management system requirements of the U.S. Food and Drug Administration and Health Canada. LOS ANGELES, CA, March 8, 2018 — Eyenuk, Inc., a […]

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Preventing the preventable: Combating diabetic retinopathy in at-risk women


World Diabetes Day is the world’s largest diabetes awareness campaign. This year’s theme, Women and Diabetes, promotes the importance of access for all women with diabetes to education, treatment and care. Oslo University Hospital/University of Oslo in collaboration with Eyenuk Inc. recently highlighted the importance of early detection of diabetic retinopathy (DR) in women in […]

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Eyenuk, Inc. presents EyeArt™ at EASDec 2015 in Turin


Eyenuk, Inc. will be attending the twenty-fifth EASDec 2015 conference in Turin Italy from June 26th to June 28th. Along with hosting a booth, Eyenuk CEO, Kaushal Solanki, will be presenting Eyenuk’s EyeArt™ technology during Session 4 of the conference: “Automated Grading: Real Life Experience” on Saturday June 27 at 15:15.. EASDec is a study […]

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Image analysis for retinal images at Eyenuk

Image analysis for retinal images has been an active subject of research over the last couple of decades. With the popularity of mydriatic and non-mydriatic digital imaging cameras, color fundus photographs have become essential part of standard retinal eye care. Advances in image analysis, pattern recognition, and machine learning have opened up a great opportunity […]

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