MyopiaAI provides a cloud‑based software platform that uses AI and biologically‑informed algorithms to assess myopia progression risk and generate personalized treatment recommendations. The solution integrates with autorefractors, OCT devices, smartphone cameras and EHR systems via FHIR/REST APIs, enabling remote monitoring and data‑driven decision making for ophthalmologists, optometrists and public‑health programs.
Funding
Funding not disclosed
Founders
Product
Problem
The global rise in myopia affects billions of people and increases the risk of retinal damage, glaucoma, and permanent vision loss, especially in children and young adults. Existing management approaches often require frequent in‑person visits and lack scalable, data‑driven personalization.
Solution
MyopiaAI offers a software‑only solution that applies proprietary artificial‑intelligence models combined with biologically‑based algorithms to assess individual myopia progression risk and generate personalized intervention plans. The platform can be accessed through standard ophthalmic devices or a mobile interface, allowing clinicians to evaluate patients remotely and adjust treatment without extensive hardware. Cloud‑hosted analytics continuously refine risk predictions as new data are collected, supporting early detection of high‑risk cases. Secure, HIPAA‑compliant data pipelines enable seamless integration with electronic health‑record (EHR) systems, giving eye‑care providers a unified view of patient trajectories. By delivering an adjustable, easy‑to‑use tool for both children and adults, MyopiaAI aims to reduce the incidence of vision‑impairing complications associated with uncontrolled myopia.
Target Audience
Primary customers are ophthalmologists, optometrists, and vision‑care clinics seeking data‑driven myopia management tools, as well as public‑health programs targeting myopia prevention in school‑aged children.
Features
- AI‑driven risk scoring that quantifies likelihood of myopia progression based on age, refractive error, and lifestyle inputs
- Personalized treatment recommendations (e.g., optical correction, pharmacologic therapy, outdoor activity targets) generated by biologically‑informed algorithms
- Integration layer compatible with existing autorefractors, optical coherence tomography (OCT) devices, and smartphone cameras for data capture
- Cloud‑based analytics engine that updates predictive models in real time as new patient data are uploaded
- Secure, end‑to‑end encrypted data storage with role‑based access controls meeting HIPAA standards
- RESTful API and FHIR‑compatible endpoints for seamless EHR and practice‑management system connectivity
- Patient‑facing mobile app that delivers reminders, tracks compliance, and visualizes progression trends for caregivers and clinicians
- Adjustable algorithm parameters to accommodate pediatric, adolescent, and adult cohorts