Introducing Eyecheckup

We work for you with the most up-to-date technologies and the power of artificial intelligence.

Diabetic Retinopathy

Diabetic retinopathy is a complication of diabetes, caused by high blood sugar levels damaging the back of the eye (retina).

Age-Related Macular Degeneration

Age-Related Macular Degeneration (ARMD) is an eye disease that can blur your central vision.

Diabetic Macular Edema

Macular edema is swelling in part of the retina (the light-sensitive layer of tissue at the back of your eye).


Glaucoma is a common eye condition where the optic nerve, which connects the eye to the brain, becomes damaged.


EyeCheckup is an artificial intelligence based retinal scanning system. EyeCheckup uses artificial intelligence to help ophthalmologists screen patients with retinal conditions. In a single examination, it analyzes more than 20 retinal diseases, especially diabetic retinopathy, in a short time in accordance with internationally accepted standards, without the need for any expert opinion from fundus images and presents a PDF report. It automatically detects the presence of eye problems, as well as marks areas on the retina with possible pathologies.

EyeCheckup is designed to think like a doctor and work effectively with image quality and imaging protocols/cameras typically used in scanning setups.

EyeCheckup is KVKK and HIPAA compliant, keeping all data safe and confidential.

Easier to Use

EyeCheckup runs directly on the computer. To generate a report for diabetic retinopathy or other eye diseases, only 200 ms is sufficient for analysis after image acquisition. The software also detects images of poor quality and alerts the operator when necessary that re-images are required. Thus, invalid images can be recaptured within 5 seconds per image.

Easy Setup

Free Support

Under 1 Minute Diagnostic Time

Clinical Research

Clinical research continues with EyeCheckup. Studies are conducted with over 95% specificity and sensitivity.

High Sensitivity => Security | High Specificity => Efficiency

The EyeCheckup hybrid algorithm has been trained with 350,000 images and validated with 20,000 images for the detection of diabetic retinopathy.

A visit to an ophthalmologist is recommended if the findings are found to be a medical condition that could eventually lead to vision loss. If the disease is not detected, it is recommended to be screened again within 12 months.

Informative Report

The hybrid algorithm is designed to maximize sensitivity for directional DR (diabetic retinopathy), glaucoma, macular degeneration, vein occlusion and other signs of eye disease and specificity for any diabetic retinopathy, glaucoma and other diseases. It automatically detects the presence of diseases. It also informs the patient by highlighting areas with possible pathologies in the retina.

A detailed PDF report is generated based on the completed analysis results. The report includes images with flagged abnormalities, a list of detected abnormalities, indicates the severity of abnormalities, lists possible diseases with ICD-10 codes.

Eyecheckup Features

Please contact for detailed information.

More Than 20 Eye Disease Detections

EyeCheckup covers the first 4 retinal diseases and more than 20 different diseases that can also be seen in the young population.

Used by 500 Ophthalmologists

Ophthalmologists rely on EyeCheckup as their clinical decision support system for diagnosis.

Fast Automatic Early Diagnosis

Using the Hybrid Deep Learning Algorithm, the processing and analysis of retinal fundus images is done quickly and with high precision, whether there is an abnormality or not.

Complete Retina Diagnosis

EyeCheckup detects more than 20 retinal diseases and anomalies, especially diabetic retinopathy.

Artificial Intelligence Retina Scanning System

EyeCheckup is a multi-disease detection and artificial intelligence supported early detection system using retinal images obtained from fundus cameras.

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“Since 2007, we have used NewVision software exclusively for our FDA cleared and DICOM conforming ophthalmic imaging system. The development and support continues to be excellent.


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