EyePal: Multimodally Intelligent & Low-Cost Retinal Imaging System to Enable Accessible Glaucoma Detection
Rohan Kalia
Grade: 11
Marietta, GA
Inducted: 2023
A shortage of ophthalmologists and inaccessibility of expensive eye equipment, especially in low-income countries, causes millions of people to experience preventable blindness from eye diseases such as glaucoma. Through my research, I've developed EyePal - an innovative system seamlessly integrating multimodal artificial intelligence models with a low-cost, portable, and modular Raspberry-Pi-based retinal imager and companion mobile app. Using EyePal, patients can have their retina imaged and automatically screened for glaucoma without the need for a doctor, contributing to increased accessibility of eye care and decreased global blindness from eye disease.
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