Sqilline sets eyes on ophthalmology via image recognition algorithm

The digital transformation of our healthcare system has never been more urgent as the hard pandemic times have proven so. That is one of the many reasons why we, from Sqilline, proceed with our mission to give more and more innovate solutions to strengthen the sector.

As a continuation of our efforts to ease the work of the medical researchers and specialists, we extended the scope of our activities as we focus our attention to one of the most precise medical specialties – ophthalmology – everything to do with the eyes.

With the strong initiative of the Bulgarian Society of Ophthalmology (BSO), Sqilline was chosen to deliver a new pilot project which aims to digitalize clinical data in the ophthalmology filed. Our joint efforts were presented on the XIV National Congress of BSO by Prof. Dr. Iva Petkova.

Sqilline has further developed its successful product Danny Platform. We created an algorithm, which can process and analyze all clinical data concerning the patients acquired through ophthalmological examination.

The algorithm has image recognition function as it can read out plain text from optical diagnostics tests by machine-learning technology. The received information is automatically uploaded in the patients record as it could be compared with previous test results, other known diagnoses, and characteristics of the person.


The unique part of our software is that it can acquire information from all kinds of medical equipment, and it could be used even if the examinations of one patient are made in different medical centers. As a result, the doctors can receive all the information needed summarized on their screen in the form of intuitive graphics and diagrams.

The digitalization of all the clinical records in one platform comes as a great advantage which contributes for better diagnostics and scalability. After every new entry from different medical tests, we are more and more aware about the development of one disease which could be further useful for researches on a national level.

At last, but not at least by visualizing the patient’s path we could help the medical specialist to make more well-informed decisions and conducts a better treatment. Early detection and proper treatment can prevent vision loss and complications. In most cases, if the disease is identified and treated early, vision loss can be prevented.

The algorithm has been implemented in 4 leading Bulgarian hospitals as we expect the first results from our project this November. And by the end of February 2022 all the other medical centers can be included as our mission is to accomplish a complete national coverage of the product.

As we live the informational era, Sqilline believes that every move towards digitalization in healthcare systems is a great step further for our better health and wellbeing. The more informed and aware we are about the diseases, the more prepared we are to fight them.

Share this article:

More News & Highlights


Real-World Data Analysis of Breast Cancer Guidelines Adherence Using Danny Platform

April 16, 2024, the internationally peer-reviewed novel open-access journal, Clinical Surgical Oncology, published the study "Nationwide Analysis of Breast Cancer Guidelines Adherence in Bulgaria,” where...



Sqilline Scientific Research Project Flow

Is there a clinical problem you want to solve? Do you have a hypothesis you want to test? Do you want to clarify your research...



Health data as an infrastructure

Health data can be considered a crucial component of healthcare infrastructure, as it forms the basis for decision-making, research, policy development, and patient care within...