Showcasing a deep learning solution for automated screening and staging of Retinopathy of Prematurity to eliminate preventable childhood blindness.
A global shortage of pediatric ophthalmologists often leaves remote clinics without the expertise needed for timely ROP screening.
Modern NICUs manage a massive number of premature births, creating a bottleneck for manual weekly eye examinations.
Interpretation of retinal vascular changes varies between clinicians, leading to inconsistent staging of Plus Disease.
🇪🇬 National Artificial Intelligence Strategy (2025-2030)
Egypt has a national AI strategy aimed at transforming key sectors including healthcare, education, and agriculture by adopting AI technologies to improve quality of life and service delivery.
“ROP AI aligns with Egypt’s National Artificial Intelligence Strategy, contributing to the adoption of AI in healthcare to improve disease detection and citizen wellbeing.”
Sustainable Development Agenda
Aligned with the UN SDGs, it emphasizes inclusive growth and social justice through digital health initiatives and healthcare modernization.
“ROP AI supports Egypt’s Vision 2030 by advancing digital healthcare innovation and contributing to improved neonatal health outcomes.”
Expanding digital health infrastructure through electronic records and digital monitoring systems to enhance patient care accessibility.
“Our solution complements Egypt’s digital health transformation by helping clinicians detect ROP earlier through AI-enhanced diagnostics.”
Promoting global digital tools to accelerate accessible health outcomes for all populations across the world.
Supporting SDG 3 (Good Health and Well-being) by enabling early detection and improving healthcare delivery for vulnerable groups.
“ROP AI contributes to the UN Sustainable Development Goals by supporting equitable access to advanced diagnostic tools for vulnerable neonates.”
Our project aligns with the United Nations 2030 Agenda for Sustainable Development, particularly goals related to health, equity, and global partnerships.
Developed in Egypt, this project contributes to the national agenda for sustainable development by supporting innovation, healthcare digitalization, and social inclusion.
Enabling expert-level screening in rural clinics through cloud-based AI analysis.
Direct integration with neonatal care systems for seamless data flow and risk monitoring.
Automatically prioritizing high-risk cases for immediate review by senior specialists.
High-resolution fundus images are uploaded to our secure clinical cloud.
Algorithms normalize luminosity and enhance vascular details for clarity.
Deep learning models classify ROP stage and detect Plus Disease markers.
Instant generation of detailed reports for immediate medical intervention.
Premature Births
Global Annual Cases
Risk of Blindness
Infants Affected Yearly
AI Health Market
Projected Growth by 2026
Help us improve early detection and awareness of Retinopathy of Prematurity by participating in our public awareness survey.
Take the Survey
Project Supervisor
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Technical Advisor
Your expertise never failed us every time we asked
Technical Advisor
Your expertise never failed us every time we asked
Technical Advisor
Your expertise never failed us every time we asked
Back-End Developer
Deep Learning Specialist
Back-End Developer
Machine Learning Engineer
Computer Vision Engineer
Data Scientist
UI/UX Designer
UI/UX Designer
Be part of the specialized cohort exploring our automated screening methods. We are accepting registration for clinical observers and research partners.
Our medical team will review your application and send the credentials to your medical email address.