Eyenuk Wins Juniper Research's Digital Health Innovation Award

Eyenuk, Inc., a global artificial intelligence (AI) medical technology and services company and the leader in real-world applications for AI Eye Screening™ and AI Predictive Biomarkers™, announced its EyeArt® AI System won Juniper Research’s Future Digital Health award for the “Best Digital Diagnostics Solution”

Juniper Research’s Future Digital Health Innovation Awards are presented to companies that deliver imaginative, innovative products or services that have the potential to disrupt their ecosystems and provide significant benefits to their target audience. Entries are initially assessed by a Juniper Research analyst panel, which then draws up a shortlist of potential winners based on a number of criteria, including product innovation, features and benefits, and future business prospects.

“Eyenuk is enormously proud to be recognized by Juniper Research as an innovator and disruptor in healthcare.”

We are honored that the EyeArt AI System was selected as the ‘Best Digital Diagnostics Solution’ by Juniper Research,” said Kaushal Solanki, Ph.D., founder and CEO of Eyenuk. “The Eyenuk AI platform is being developed with the goal of screening every eye in the world for chronic and vision-threatening diseases. This recognition furthers our commitment to expanding access to rapid, on-site early disease detection while improving accuracy and lowering costs.”

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The traditional exam for diabetic retinopathy (DR) screening requires an eye care specialist to dilate a patient’s eyes and examine the back of the eyes—an expensive process that requires long waits for appointments and keeps specialists from focusing on patients who need treatment. Even though early DR detection and treatment can reduce the risk of blindness by 95%1, as many as 50% of Americans with diabetes do not receive their annual eye exam2, making DR the leading cause of blindness among working-age adults.

The EyeArt platform solves these problems by making the detection of DR more accessible while improving efficiency, accuracy, and cost. For the first time, fully autonomous, real-time DR screening can be performed by non-specialists at primary care practices, diabetes centers, and other frontline care settings during a patient’s routine office visit with highly accurate results available in seconds. Positive cases are referred to eye care specialists, ensuring their time is optimized for assessing and treating complex cases. The FDA-cleared EyeArt AI System is the most extensively validated AI technology for autonomous DR detection, tested on over 500,000 patients globally with 2 million images collected in clinical environments.

“Early adopters have told us that the EyeArt system is a real clinical game changer, making real-time DR screening possible at point-of-care settings by freeing up eye care professionals so they can focus on more complex clinical tasks,” said Frank Cheng, President and Chief Commercial Officer of Eyenuk. “We are enormously proud to be recognized by Juniper Research as an innovator and disruptor in the industry as we continue to develop products for additional disease indications.”

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