1. Retina.AI - a cloud-based ophthalmology platform

Retina.AI is a cloud-based ophthalmology platform that represents an online service built on artificial intelligence technologies for detecting signs of diabetic retinopathy and diabetic macular edema. The service is deployed based on data collected in real-life clinical conditions.
Retina.AI, a cloud-based ophthalmology platform, is designed to analyze colored fundus photographs and scans of structural optical coherence tomography (OCT) using machine learning algorithms and detect signs of diabetic retinopathy, diabetic macular edema and age-related macular degeneration (OCT analysis module is currently under development). After uploading the image, the system performs its preliminary processing, analysis, highlights the areas that the doctor needs to pay attention to, and automatically generates a comprehensive report with information about the study.
Currently, we are conducting clinical trials of the service on the premises of several clinical centers. As soon as the results of clinical trials are processed, we will make them available to our users.

2. Use of Retina.AI

Retina.AI service is designed to process fundus photographs taken with a Fundus camera. To increase the accuracy of diagnosis, it is recommended to upload photographs taken in at least two fields of the fundus: 1 - centered on the macula, 2 - centered on the optic disk (see the requirements for fundus photographs). Currently, structural OCT scans analysis module is under development.
Retina.AI service is developed with the use of cloud technologies, therefore it is available to everyone who has a PC, smartphone or tablet with Internet access. No additional software is required.
Average waiting time for processing of the fundus photograph by Retina.AI service - 30 seconds. The speed of image processing also depends on your Internet connection: if it is slow or unstable, the waiting time may slightly increase.
  1. Fundus images must not contain the patient's personal data (last name, first name, date of birth, diagnosis, etc.), as well as information constituting a state secret, medical secret and other information protected by law;
  2. Images format: RGB color images;
  3. Minimum image resolution: 480x480 pixels;
  4. Supported image formats: .jpeg, .png, .bmp;
  5. For analysis, at least one fundus image centered on the macula and one image centered on the optic disc is required, the center of the macula and the optic disc must be visible and clearly distinguishable in the image.


The presence of artifacts in fundus images, poor image quality due to clouding of the optical media, or other reasons can adversely affect the operation of the program and lead to false results. The user is responsible for the quality and compliance with the requirements of images.

We are currently conducting beta testing of a cloud-based ophthalmology platform, Retina.AI, and its use is free. Since the project is currently funded by the founders' personal finances, we will be grateful for any financial assistance (see "Share Fundus Image / OCT scan" section). Use of Retina.AI service is only allowed for non-commercial purposes. If you have any questions regarding commercial cooperation, please contact us via e-mail support@screenretina.com.
No, the result of the Retina.AI service analysis is not considered a diagnosis. The digital cloud-based ophthalmology platform Retina.AI provides assistance to doctors in detecting signs of the disease by identifying them and their location. On the basis of the data collected, Retina.AI service gives an opportunity to generate a report of the study. It is a doctor's responsibility to make the right diagnosis.
Retina.AI, a digital cloud -based ophthalmology platform, was developed based on the International Council of Ophthalmology Guidelines for Diabetic Eye Care.
For commercial use of Retina.AI cloud-based platform, please contact us via email support@screenretina.com.

3. Features of Retina.AI platform

Retina.AI, a digital cloud-based ophthalmology platform, uses a number of deep learning and image analysis algorithms for automatic detection of signs and severity stages of diabetic retinopathy, diabetic macular edema and age-related macular degeneration based on internationally recognized clinical classification of the disease.
Retina.AI cloud-based platform enables the detection of signs of diabetic retinopathy and diabetic macular edema. In the near future, the ongoing optimization of the service will enable the detection of signs of age-related macular degeneration and diabetic macular edema based on analysis of OCT scans.
Data for training of deep learning algorithms were collected in real-life clinical conditions. Moreover, we used publicly accessible databases of fundus photographs under the CC BY 4.0 license. We are interested in receiving anonymized patient data - fundus photographs, OCT scans, OCTA images of patients with various retinal disorders. You can share the data with us through the section "Share fundus Image / OCT scan " . Your photographs help to further optimize the service for users, and we would be very grateful for that contribution.
Clinical trials of the Retina.AI cloud-based ophthalmology platform are currently being conducted in Russia and other countries. If you have any questions about clinical studies of a cloud platform Retina.AI, please send us a corresponding request through «Ask us» section or via e-mail support@screenretina.com.
Today, Retina.AI service is used in different countries - from Russia and Eastern Europe to the Middle East, South Africa and others. The number of users interested in testing the service is constantly growing. If you want to use our service for commercial purposes, please send us your request through the «Ask us» section or via e-mail support@screenretina.com.

4. Privacy and security

The use of Retina.AI digital cloud-based ophthalmology platform is safe. Encrypting data during transfer ensures that third parties will not receive access to your data. We do not store users' data.
No, we do not store the data that you upload to the service. Nevertheless, if you wish to voluntarily share your photographs with us, then simply confirm the possibility of contributing your images to our research while using the service. We will use the received images to improve the service algorithms. You can also share with us anonymized fundus photographs and OCT scans through the section "Share fundus Image / OCT scan ". We would highly appreciate your help – together we will make the service better!

5. Other

If the service does not work correctly, you cannot upload a photograph, or you experience a long waiting time and do not receive the result of data processing, please contact us through the «Ask us» section, or via e-mail support@screenretina.com. We will definitely consider your request and get in touch as soon as possible.
The service may not work properly with AdBlock enabled. Disable it and try to upload the image again. Furthermore, long download time may be related to the stability and speed of your Internet connection. In this case, for the proper work of the service, you will need to provide a better quality Internet connection.
Retina.AI, a digital cloud-based ophthalmology platform, was founded by an interdisciplinary team of ophthalmologists and specialists in the field of artificial intelligence. Our service is created by doctors and for doctors: our team includes several specialists in ophthalmology, among them healthcare specialists with a PhD degree. The cumulative experience of our team in the field of practical diagnosis of retinal diseases exceeds 40 years. Moreover, the team's consultants are highly rated foreign ophthalmologists. The cumulative experience of our AI and image recognition specialists, having a proven track record of implementing several projects in various fields, exceeds 20 years.

The range of retinal conditions, that can be automatically diagnosed using the AI technology, is expanding rapidly. We are interested in collaboration with retina specialists, especially specialists in OCT. If you are interested in working with us, please send us your offer via the «Ask us» section or via email support@screenretina.com.