
RetinEye AId detects the presence and stages of Diabetic Retinopathy (DR), especially the early stages, which are difficult to diagnose. By using AI and advanced image processing algorithms, it provides a fast, accurate, and explainable diagnostic solution, helping prevent the disease from progressing to blindness. RetinEye AId minimizes malpractice, reduces examination times, and improves early detection, supporting doctors in their decision-making processes.
Why AId Core Solutions?
Reliable Diagnosis with Innovative Technology
RetinAId uses advanced AI to accurately detect early retinal diseases, reducing errors and enhancing decision-making.
Patient-Centered Approach
Our AI-driven solution simplifies treatment, detects risks early, and prevents blindness-causing complications.
Easy Integration
RetinAI integrates with retinal imaging devices and hospital systems, allowing quick setup without system changes.
Advanced Technology with User-Friendly Interface
RetinAI combines advanced technology with a user-friendly interface, enabling doctors to quickly access analysis results and focus more on patients care.
Verified Expertise and Trust
Our expert team in health and technology has extensive experience in AI-powered diagnostic systems, and our product is supported by health authorities both in Turkey and globally.
Commitment to Social Benefit
Our goal is to reduce blindness, ease healthcare burdens, and build a healthier future together through improved eye care.
Who is AId Core Solutions for?
Clinics & Hospitals
Clinical & Academic Researchers
Academic AI Researchers
Reducing Diagnostic Time for Diabetic Retinopathy
RetinEye AId Eye dramatically reduces diabetic retinopathy diagnostic time from 30 minutes to 30 seconds, enhancing speed, accuracy, and treatment efficiency for healthcare professionals.
Optimizing Doctor Efficiency and Focus
RetinEye AId reduces doctor's workload, enabling healthcare professionals to work more efficiently and improve productivity.
High-Accuracy Diagnostics and Safer Decision-Making
With an accuracy rate exceeding 95%, RetinEye AId offers reliable and precise diagnostics, improving the safety and effectiveness of decision-making in healthcare.
Enhancing Hospital Efficiency and Brand Value with AI Integration
The integration of AI technologies in hospitals boosts operational efficiency, enhances PR efforts, and improves resource use, patient care quality, and speed, providing a competitive edge in healthcare.
What is Diabetic Retinopathy?
Diabetic Retinopathy (DR) is one of the most serious complications threatening the eye health of diabetic patients. It occurs as a result of long-term damage to the retinal blood vessels caused by diabetes and can lead to vision loss if not diagnosed early.

Diabetic Retinopathy
179M
Diabetic Retinopathy (DR) is a serious complication of diabetes, with over 642 million people projected to be affected by 2040. RetinEye AId provides early detection, helping reduce vision loss and easing healthcare burdens.
AMD
196M
Age-Related Macular Degeneration (AMD) is a retinal disease commonly seen in individuals over the age of 50, which impairs detailed vision due to the damage it causes in the macula. AMD has two forms: 'dry' and 'wet.' Early diagnosis is crucial for the success of treatment in Age-Related Macular Degeneration.
Drusen
145M
Drusen are small yellow deposits on the retina, often associated with age-related macular degeneration (AMD). While they don't always cause vision loss, their presence can increase the risk of developing more severe AMD. Early detection is key for effective monitoring and prevention.
Glaucoma
80M
Glaucoma is a group of eye diseases that damage the optic nerve, often due to high intraocular pressure. It is a leading cause of blindness, particularly in older adults. Early detection and treatment are crucial to prevent vision loss.
Macular edema
27M
Macular edema is the swelling of the macula, the central part of the retina, often caused by conditions like diabetic retinopathy or retinal vein occlusion. It can lead to blurred or distorted central vision. Early diagnosis and treatment are important to preserve vision.
Hypertensive retinopathy
225M
Hypertensive retinopathy is damage to the retina caused by high blood pressure. It can lead to changes in the blood vessels of the retina, potentially causing vision problems. Early detection and control of blood pressure are essential to prevent further damage.

Patient Selection
The doctor selects the patient for diagnosis through RetinEye AId's user-friendly interface. Patient information is automatically retrieved from electronic health records (EHR) and the hospital's existing systems.

Obtaining Retinal Images
Retinal images are transferred to our system via PACS (Picture Archiving and Communication System) or directly from retinal imaging devices through API integration.

Transmission of Data to Our Analysis Server
The captured retinal images and relevant patient information (such as blood sugar level, blood pressure, diabetes duration, etc.) are securely transmitted to RetinEye AId's analysis server via HTTPS protocols.

Multimodal AI Analysis
Our AI-based system accurately analyzes Diabetic Retinopathy, Glaucoma, and other retinal diseases. It evaluates risk factors and delivers insights into the disease’s current stage.

Presentation of Analysis Results to the Doctor
The system generates a detailed report, presented to the doctor via the RetinEye AId interface, with images of affected retinal areas, disease stage, and contributing factors.

Patient Monitoring and Reporting
Based on the report's findings, the doctor can initiate the patient's treatment process. The system also generates automatic reminders for future check-ups and stores long-term health data for ongoing monitoring.
Contact Us
Collaborations
Our Team
Co-Founders

Ali Eren Karadağ
CEO

Umut Kutlu
Co-Founder

Hüseyin Çelik
Co-Founder

Yrd. Doç. Dr. Nilüfer Köylüoğlu
Co-Founder
Academic Partners

Doç. Dr. Burcu Tunga
AI Advisor

Arş. Gör. Ahmet Topal
AI Advisor
Research Team

Ali Emre Eser
AI Engineer

Muhammed Furkan Telli
Full-Stack Developer

Enes Taner
AI Engineer

Murat Oymak
AI Engineer

Oğuzhan Atmaca
AI Engineer

Nihat Ahmadlı
AI Engineer