A transformative retina-based multi-disease detection platform. Detect critical illnesses like Diabetic Retinopathy, AMD, and Alzheimer's Disease, earlier and with precision.
Protected by U.S. Pat. 11,382,506
Vision loss due to diabetes, or diabetic retinopathy, is the leading cause of preventable blindness in adults worldwide. This condition affects up to 80% of individuals living with diabetes longer than 15 years. To prevent blindness, diabetic retinopathy must be caught early. Enter Ai-Ris.
Normal Vision
Impaired Vision
AMD is an eye disorder that damages the macula, impairing central vision. Early detection is key as it can lead to substantial vision loss in older adults. With prompt intervention, its progression can be slowed, safeguarding eyesight.
Alzheimer's disease is a progressive neurodegenerative disorder that impacts memory, thinking, and behavior. Early detection is paramount as it allows for timely management strategies to slow disease progression and improve the quality of life for those affected.
A retinal imaging system that enables general medical practitioners to screen for diseases such as diabetic retinopathy, AMD, and Alzheimer's disease without the presence of a specialist. The system consists of a portable headset, capable of capturing images of the patient’s retina without dilating the pupils and a machine learning algorithm to classify images of the patient’s retina.
Our machine-learning software algorithm allows for automatic exams with minimal oversight
Our unique optical approach enables us to acquire retinal images without the need for dilation drops
Ditch the large, cumbersome table-top retinal cameras. Our headset system is light and easy to move
From the National Science Foundation, VentureWell, and other organizations
Used to train our proprietary AI algorithm
In collaboration with experienced clinical experts
For unique imaging technique
Former project mng. MS in engineering. Three years of experience in computer vision and AI research
MD/PhD student. 11 years of programming. Former clinical lead for software diagnostics
Research Assistant Professor. PhD in Electrical Engineering. Patent in Optical Engineering
Former biomedical engineer at Pfizer. NSF graduate research fellow. Serial entrepreneur
13 years of experience in optometry. In depth experience in primary care and optometrist settings.
What makes your technology approach special?
Our proprietary imaging technique, AI-enabled software for automated retinal screening, combined with the capability to perform eye exams with an affordable headset device enables primary care physicians to now perform retinal screenings.
How much will your device cost?
Our technology is still under development but we aim to provide an affordable subscription to increase access to eye care to all.
Who is your device designed for?
Primary care physicians, nurse practitioners, and other medical professionals with no particular training in ophthalmology.
When will you be market-ready?
We aim to release the beta for our software algorithm in 2023 for testing and non-clinical use, and aim to release the complete integrated hardware-software system in 2025.
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